id sid tid token lemma pos bracis-28361 1 1 featgenn featgenn NOUN bracis-28361 1 2 : : PUNCT bracis-28361 1 3 improving improve VERB bracis-28361 1 4 model model NOUN bracis-28361 1 5 performance performance NOUN bracis-28361 1 6 for for ADP bracis-28361 1 7     SPACE bracis-28361 1 8 tabular tabular PROPN bracis-28361 1 9 data datum NOUN bracis-28361 1 10 with with ADP bracis-28361 1 11     SPACE bracis-28361 1 12 correlation correlation NOUN bracis-28361 1 13 - - PUNCT bracis-28361 1 14 based base VERB bracis-28361 1 15 feature feature NOUN bracis-28361 1 16 extraction extraction NOUN bracis-28361 1 17 | | NOUN bracis-28361 1 18 springer springer NOUN bracis-28361 1 19 nature nature NOUN bracis-28361 1 20 link link PROPN bracis-28361 1 21 ( ( PUNCT bracis-28361 1 22 formerly formerly ADV bracis-28361 1 23 springerlink springerlink NOUN bracis-28361 1 24 ) ) PUNCT bracis-28361 1 25 skip skip VERB bracis-28361 1 26 to to ADP bracis-28361 1 27 main main ADJ bracis-28361 1 28 content content NOUN bracis-28361 1 29 advertisement advertisement NOUN bracis-28361 1 30 log log NOUN bracis-28361 1 31 in in ADP bracis-28361 1 32 menu menu NOUN bracis-28361 1 33 find find VERB bracis-28361 1 34 a a DET bracis-28361 1 35 journal journal NOUN bracis-28361 1 36 publish publish VERB bracis-28361 1 37 with with ADP bracis-28361 1 38 us we PRON bracis-28361 1 39 track track VERB bracis-28361 1 40 your your PRON bracis-28361 1 41 research research NOUN bracis-28361 1 42 search search NOUN bracis-28361 1 43 cart cart NOUN bracis-28361 1 44 home home NOUN bracis-28361 1 45 intelligent intelligent ADJ bracis-28361 1 46 systems system NOUN bracis-28361 1 47 conference conference NOUN bracis-28361 1 48 paper paper NOUN bracis-28361 1 49 featgenn featgenn NOUN bracis-28361 1 50 : : PUNCT bracis-28361 1 51 improving improve VERB bracis-28361 1 52 model model NOUN bracis-28361 1 53 performance performance NOUN bracis-28361 1 54 for for ADP bracis-28361 1 55     SPACE bracis-28361 1 56 tabular tabular PROPN bracis-28361 1 57 data datum NOUN bracis-28361 1 58 with with ADP bracis-28361 1 59     SPACE bracis-28361 1 60 correlation correlation NOUN bracis-28361 1 61 - - PUNCT bracis-28361 1 62 based base VERB bracis-28361 1 63 feature feature NOUN bracis-28361 1 64 extraction extraction NOUN bracis-28361 1 65 conference conference NOUN bracis-28361 1 66 paper paper NOUN bracis-28361 1 67 first first ADV bracis-28361 1 68 online online ADV bracis-28361 1 69 : : PUNCT bracis-28361 1 70 12 12 NUM bracis-28361 1 71 october october NOUN bracis-28361 1 72 2023 2023 NUM bracis-28361 1 73 pp pp ADP bracis-28361 1 74 259–273 259–273 NUM bracis-28361 1 75 cite cite VERB bracis-28361 1 76 this this DET bracis-28361 1 77 conference conference NOUN bracis-28361 1 78 paper paper NOUN bracis-28361 1 79 access access NOUN bracis-28361 1 80 provided provide VERB bracis-28361 1 81 by by ADP bracis-28361 1 82 university university PROPN bracis-28361 1 83 of of ADP bracis-28361 1 84 notre notre PROPN bracis-28361 1 85 dame dame PROPN bracis-28361 1 86 hesburgh hesburgh PROPN bracis-28361 1 87 library library PROPN bracis-28361 1 88 download download PROPN bracis-28361 1 89 book book NOUN bracis-28361 1 90 pdf pdf PROPN bracis-28361 1 91 download download NOUN bracis-28361 1 92 book book NOUN bracis-28361 1 93 epub epub PROPN bracis-28361 1 94 intelligent intelligent ADJ bracis-28361 1 95 systems system NOUN bracis-28361 1 96 ( ( PUNCT bracis-28361 1 97 bracis bracis NOUN bracis-28361 1 98 2023 2023 NUM bracis-28361 1 99 ) ) PUNCT bracis-28361 1 100 featgenn featgenn NOUN bracis-28361 1 101 : : PUNCT bracis-28361 1 102 improving improve VERB bracis-28361 1 103 model model NOUN bracis-28361 1 104 performance performance NOUN bracis-28361 1 105 for for ADP bracis-28361 1 106     SPACE bracis-28361 1 107 tabular tabular PROPN bracis-28361 1 108 data datum NOUN bracis-28361 1 109 with with ADP bracis-28361 1 110     SPACE bracis-28361 1 111 correlation correlation NOUN bracis-28361 1 112 - - PUNCT bracis-28361 1 113 based base VERB bracis-28361 1 114 feature feature NOUN bracis-28361 1 115 extraction extraction NOUN bracis-28361 1 116 download download NOUN bracis-28361 1 117 book book NOUN bracis-28361 1 118 pdf pdf PROPN bracis-28361 1 119 download download NOUN bracis-28361 1 120 book book PROPN bracis-28361 1 121 epub epub PROPN bracis-28361 1 122 sammuel sammuel PROPN bracis-28361 1 123 ramos ramos PROPN bracis-28361 1 124 silva silva PROPN bracis-28361 1 125     SPACE bracis-28361 1 126 orcid orcid NOUN bracis-28361 1 127 : : PUNCT bracis-28361 1 128 orcid.org/0000-0002-2274-13909,10 orcid.org/0000-0002-2274-13909,10 PROPN bracis-28361 1 129 & & CCONJ bracis-28361 1 130 rodrigo rodrigo PROPN bracis-28361 1 131 silva silva PROPN bracis-28361 1 132     SPACE bracis-28361 1 133 orcid orcid PROPN bracis-28361 1 134 : : PUNCT bracis-28361 1 135 orcid.org/0000-0003-2547-38359 orcid.org/0000-0003-2547-38359 NOUN bracis-28361 1 136     SPACE bracis-28361 1 137 part part NOUN bracis-28361 1 138 of of ADP bracis-28361 1 139 the the DET bracis-28361 1 140 book book NOUN bracis-28361 1 141 series series NOUN bracis-28361 1 142 : : PUNCT bracis-28361 1 143 lecture lecture NOUN bracis-28361 1 144 notes note NOUN bracis-28361 1 145 in in ADP bracis-28361 1 146 computer computer NOUN bracis-28361 1 147 science science NOUN bracis-28361 1 148 ( ( PUNCT bracis-28361 1 149 ( ( PUNCT bracis-28361 1 150 lnai lnai ADJ bracis-28361 1 151 , , PUNCT bracis-28361 1 152 volume volume NOUN bracis-28361 1 153 14195 14195 NUM bracis-28361 1 154 ) ) PUNCT bracis-28361 1 155 ) ) PUNCT bracis-28361 1 156 included include VERB bracis-28361 1 157 in in ADP bracis-28361 1 158 the the DET bracis-28361 1 159 following follow VERB bracis-28361 1 160 conference conference NOUN bracis-28361 1 161 series series NOUN bracis-28361 1 162 : : PUNCT bracis-28361 1 163 brazilian brazilian ADJ bracis-28361 1 164 conference conference NOUN bracis-28361 1 165 on on ADP bracis-28361 1 166 intelligent intelligent ADJ bracis-28361 1 167 systems system NOUN bracis-28361 1 168 576 576 NUM bracis-28361 1 169 accesses access NOUN bracis-28361 1 170 1 1 NUM bracis-28361 1 171 citation citation NOUN bracis-28361 1 172 abstract abstract ADJ bracis-28361 1 173 automated automate VERB bracis-28361 1 174 feature feature NOUN bracis-28361 1 175 engineering engineering NOUN bracis-28361 1 176 ( ( PUNCT bracis-28361 1 177 autofe autofe NOUN bracis-28361 1 178 ) ) PUNCT bracis-28361 1 179 has have AUX bracis-28361 1 180 become become VERB bracis-28361 1 181 an an DET bracis-28361 1 182 important important ADJ bracis-28361 1 183 task task NOUN bracis-28361 1 184 for for ADP bracis-28361 1 185 any any DET bracis-28361 1 186 machine machine NOUN bracis-28361 1 187 learning learning NOUN bracis-28361 1 188 project project NOUN bracis-28361 1 189 , , PUNCT bracis-28361 1 190 as as SCONJ bracis-28361 1 191 it it PRON bracis-28361 1 192 can can AUX bracis-28361 1 193 help help VERB bracis-28361 1 194 improve improve VERB bracis-28361 1 195 model model NOUN bracis-28361 1 196 performance performance NOUN bracis-28361 1 197 and and CCONJ bracis-28361 1 198 gain gain VERB bracis-28361 1 199 more more ADJ bracis-28361 1 200 information information NOUN bracis-28361 1 201 for for ADP bracis-28361 1 202 statistical statistical ADJ bracis-28361 1 203 analysis analysis NOUN bracis-28361 1 204 . . PUNCT bracis-28361 2 1 however however ADV bracis-28361 2 2 , , PUNCT bracis-28361 2 3 most most ADJ bracis-28361 2 4 current current ADJ bracis-28361 2 5 approaches approach NOUN bracis-28361 2 6 for for ADP bracis-28361 2 7 autofe autofe NOUN bracis-28361 2 8 rely rely VERB bracis-28361 2 9 on on ADP bracis-28361 2 10 manual manual ADJ bracis-28361 2 11 feature feature NOUN bracis-28361 2 12 creation creation NOUN bracis-28361 2 13 or or CCONJ bracis-28361 2 14 use use VERB bracis-28361 2 15 methods method NOUN bracis-28361 2 16 that that PRON bracis-28361 2 17 can can AUX bracis-28361 2 18 generate generate VERB bracis-28361 2 19 a a DET bracis-28361 2 20 large large ADJ bracis-28361 2 21 number number NOUN bracis-28361 2 22 of of ADP bracis-28361 2 23 features feature NOUN bracis-28361 2 24 , , PUNCT bracis-28361 2 25 which which PRON bracis-28361 2 26 can can AUX bracis-28361 2 27 be be AUX bracis-28361 2 28 computationally computationally ADV bracis-28361 2 29 intensive intensive ADJ bracis-28361 2 30 and and CCONJ bracis-28361 2 31 lead lead VERB bracis-28361 2 32 to to ADP bracis-28361 2 33 overfitting overfitte VERB bracis-28361 2 34 . . PUNCT bracis-28361 3 1 to to PART bracis-28361 3 2 address address VERB bracis-28361 3 3 these these DET bracis-28361 3 4 challenges challenge NOUN bracis-28361 3 5 , , PUNCT bracis-28361 3 6 we we PRON bracis-28361 3 7 propose propose VERB bracis-28361 3 8 a a DET bracis-28361 3 9 novel novel ADJ bracis-28361 3 10 convolutional convolutional ADJ bracis-28361 3 11 method method NOUN bracis-28361 3 12 called call VERB bracis-28361 3 13 featgenn featgenn NOUN bracis-28361 3 14 that that SCONJ bracis-28361 3 15 extracts extract NOUN bracis-28361 3 16 and and CCONJ bracis-28361 3 17 creates create VERB bracis-28361 3 18 new new ADJ bracis-28361 3 19 features feature NOUN bracis-28361 3 20 using use VERB bracis-28361 3 21 correlation correlation NOUN bracis-28361 3 22 as as ADP bracis-28361 3 23 a a DET bracis-28361 3 24 pooling pooling NOUN bracis-28361 3 25 function function NOUN bracis-28361 3 26 . . PUNCT bracis-28361 4 1 unlike unlike ADP bracis-28361 4 2 traditional traditional ADJ bracis-28361 4 3 pooling pooling NOUN bracis-28361 4 4 functions function NOUN bracis-28361 4 5 like like ADP bracis-28361 4 6 max max PROPN bracis-28361 4 7 - - PUNCT bracis-28361 4 8 pooling pooling ADJ bracis-28361 4 9 , , PUNCT bracis-28361 4 10 correlation correlation NOUN bracis-28361 4 11 - - PUNCT bracis-28361 4 12 based base VERB bracis-28361 4 13 pooling pooling NOUN bracis-28361 4 14 considers consider VERB bracis-28361 4 15 the the DET bracis-28361 4 16 linear linear ADJ bracis-28361 4 17 relationship relationship NOUN bracis-28361 4 18 between between ADP bracis-28361 4 19 the the DET bracis-28361 4 20 features feature NOUN bracis-28361 4 21 in in ADP bracis-28361 4 22 the the DET bracis-28361 4 23 data datum NOUN bracis-28361 4 24 matrix matrix NOUN bracis-28361 4 25 , , PUNCT bracis-28361 4 26 making make VERB bracis-28361 4 27 it it PRON bracis-28361 4 28 more more ADV bracis-28361 4 29 suitable suitable ADJ bracis-28361 4 30 for for ADP bracis-28361 4 31 tabular tabular PROPN bracis-28361 4 32 data datum NOUN bracis-28361 4 33 . . PUNCT bracis-28361 5 1 we we PRON bracis-28361 5 2 evaluate evaluate VERB bracis-28361 5 3 our our PRON bracis-28361 5 4 method method NOUN bracis-28361 5 5 on on ADP bracis-28361 5 6 various various ADJ bracis-28361 5 7 benchmark benchmark ADJ bracis-28361 5 8 datasets dataset NOUN bracis-28361 5 9 and and CCONJ bracis-28361 5 10 demonstrate demonstrate VERB bracis-28361 5 11 that that SCONJ bracis-28361 5 12 featgenn featgenn NOUN bracis-28361 5 13 outperforms outperform VERB bracis-28361 5 14 existing exist VERB bracis-28361 5 15 autofe autofe NOUN bracis-28361 5 16 approaches approach NOUN bracis-28361 5 17 regarding regard VERB bracis-28361 5 18 model model NOUN bracis-28361 5 19 performance performance NOUN bracis-28361 5 20 . . PUNCT bracis-28361 6 1 our our PRON bracis-28361 6 2 results result NOUN bracis-28361 6 3 suggest suggest VERB bracis-28361 6 4 that that SCONJ bracis-28361 6 5 correlation correlation NOUN bracis-28361 6 6 - - PUNCT bracis-28361 6 7 based base VERB bracis-28361 6 8 pooling pooling NOUN bracis-28361 6 9 can can AUX bracis-28361 6 10 be be AUX bracis-28361 6 11 a a DET bracis-28361 6 12 promising promising ADJ bracis-28361 6 13 alternative alternative NOUN bracis-28361 6 14 to to ADP bracis-28361 6 15 max max NOUN bracis-28361 6 16 - - PUNCT bracis-28361 6 17 pooling pooling NOUN bracis-28361 6 18 for for ADP bracis-28361 6 19 autofe autofe NOUN bracis-28361 6 20 in in ADP bracis-28361 6 21 tabular tabular PROPN bracis-28361 6 22 data datum NOUN bracis-28361 6 23 applications application NOUN bracis-28361 6 24 . . PUNCT bracis-28361 7 1 the the DET bracis-28361 7 2 author author NOUN bracis-28361 7 3 would would AUX bracis-28361 7 4 like like VERB bracis-28361 7 5 to to PART bracis-28361 7 6 acknowledge acknowledge VERB bracis-28361 7 7 fapemig fapemig PROPN bracis-28361 7 8 ( ( PUNCT bracis-28361 7 9 fundação fundação PROPN bracis-28361 7 10 de de X bracis-28361 7 11 amparo amparo PROPN bracis-28361 7 12 à à X bracis-28361 7 13 pesquisa pesquisa PROPN bracis-28361 7 14 do do AUX bracis-28361 7 15 estado estado VERB bracis-28361 7 16 de de PROPN bracis-28361 7 17 minas minas X bracis-28361 7 18 gerais gerais PROPN bracis-28361 7 19 ) ) PUNCT bracis-28361 7 20 , , PUNCT bracis-28361 7 21 capes cape NOUN bracis-28361 7 22 ( ( PUNCT bracis-28361 7 23 coordenação coordenação PROPN bracis-28361 7 24 de de PROPN bracis-28361 7 25 aperfeiçoamento aperfeiçoamento PROPN bracis-28361 7 26 de de X bracis-28361 7 27 pessoal pessoal PROPN bracis-28361 7 28 de de PROPN bracis-28361 7 29 nível nível PROPN bracis-28361 7 30 superior superior ADJ bracis-28361 7 31 ) ) PUNCT bracis-28361 7 32 , , PUNCT bracis-28361 7 33 ufop ufop PROPN bracis-28361 7 34 ( ( PUNCT bracis-28361 7 35 universidade universidade PROPN bracis-28361 7 36 federal federal PROPN bracis-28361 7 37 de de PROPN bracis-28361 7 38 ouro ouro PROPN bracis-28361 7 39 preto preto PROPN bracis-28361 7 40 ) ) PUNCT bracis-28361 7 41 and and CCONJ bracis-28361 7 42 cloudwalk cloudwalk NOUN bracis-28361 7 43 , , PUNCT bracis-28361 7 44 inc inc PROPN bracis-28361 7 45 , , PUNCT bracis-28361 7 46 for for ADP bracis-28361 7 47 the the DET bracis-28361 7 48 financial financial ADJ bracis-28361 7 49 support support NOUN bracis-28361 7 50 which which PRON bracis-28361 7 51 has have AUX bracis-28361 7 52 been be AUX bracis-28361 7 53 instrumental instrumental ADJ bracis-28361 7 54 in in ADP bracis-28361 7 55 the the DET bracis-28361 7 56 successful successful ADJ bracis-28361 7 57 execution execution NOUN bracis-28361 7 58 of of ADP bracis-28361 7 59 our our PRON bracis-28361 7 60 research research NOUN bracis-28361 7 61 endeavors endeavor NOUN bracis-28361 7 62 . . PUNCT bracis-28361 8 1 access access NOUN bracis-28361 8 2 provided provide VERB bracis-28361 8 3 by by ADP bracis-28361 8 4 university university PROPN bracis-28361 8 5 of of ADP bracis-28361 8 6 notre notre PROPN bracis-28361 8 7 dame dame PROPN bracis-28361 8 8 hesburgh hesburgh PROPN bracis-28361 8 9 library library PROPN bracis-28361 8 10 . . PUNCT bracis-28361 9 1 download download PROPN bracis-28361 9 2 conference conference NOUN bracis-28361 9 3 paper paper NOUN bracis-28361 9 4 pdf pdf NOUN bracis-28361 9 5 similar similar ADJ bracis-28361 9 6 content content NOUN bracis-28361 9 7 being be AUX bracis-28361 9 8 viewed view VERB bracis-28361 9 9 by by ADP bracis-28361 9 10 others other NOUN bracis-28361 9 11 attribute attribute NOUN bracis-28361 9 12 selection selection NOUN bracis-28361 9 13 based base VERB bracis-28361 9 14 on on ADP bracis-28361 9 15 correlation correlation NOUN bracis-28361 9 16 analysis analysis NOUN bracis-28361 9 17 chapter chapter NOUN bracis-28361 9 18 © © PROPN bracis-28361 9 19 2018 2018 NUM bracis-28361 9 20 iterative iterative NOUN bracis-28361 9 21 feature feature NOUN bracis-28361 9 22 exclusion exclusion NOUN bracis-28361 9 23 ranking rank VERB bracis-28361 9 24 for for ADP bracis-28361 9 25 deep deep ADJ bracis-28361 9 26 tabular tabular NOUN bracis-28361 9 27 learning learn VERB bracis-28361 9 28 article article NOUN bracis-28361 9 29 16 16 NUM bracis-28361 9 30 december december PROPN bracis-28361 9 31 2025 2025 NUM bracis-28361 9 32 towards towards ADP bracis-28361 9 33 automatic automatic ADJ bracis-28361 9 34 complex complex ADJ bracis-28361 9 35 feature feature NOUN bracis-28361 9 36 engineering engineering NOUN bracis-28361 9 37 chapter chapter NOUN bracis-28361 9 38 © © PROPN bracis-28361 9 39 2018 2018 NUM bracis-28361 9 40 explore explore VERB bracis-28361 9 41 related relate VERB bracis-28361 9 42 subjects subject NOUN bracis-28361 9 43 discover discover VERB bracis-28361 9 44 the the DET bracis-28361 9 45 latest late ADJ bracis-28361 9 46 articles article NOUN bracis-28361 9 47 , , PUNCT bracis-28361 9 48 books book NOUN bracis-28361 9 49 and and CCONJ bracis-28361 9 50 news news NOUN bracis-28361 9 51 in in ADP bracis-28361 9 52 related related ADJ bracis-28361 9 53 subjects subject NOUN bracis-28361 9 54 , , PUNCT bracis-28361 9 55 suggested suggest VERB bracis-28361 9 56 using use VERB bracis-28361 9 57 machine machine NOUN bracis-28361 9 58 learning learning NOUN bracis-28361 9 59 . . PUNCT bracis-28361 10 1 categorization categorization NOUN bracis-28361 10 2 data datum NOUN bracis-28361 10 3 mining mining NOUN bracis-28361 10 4 machine machine NOUN bracis-28361 10 5 learning learn VERB bracis-28361 10 6 quantitative quantitative ADJ bracis-28361 10 7 trait trait NOUN bracis-28361 10 8 skills skill NOUN bracis-28361 10 9 statistical statistical ADJ bracis-28361 10 10 learning learn VERB bracis-28361 10 11 1 1 NUM bracis-28361 10 12 introduction introduction NOUN bracis-28361 10 13 creating create VERB bracis-28361 10 14 effective effective ADJ bracis-28361 10 15 features feature NOUN bracis-28361 10 16 is be AUX bracis-28361 10 17 a a DET bracis-28361 10 18 crucial crucial ADJ bracis-28361 10 19 aspect aspect NOUN bracis-28361 10 20 of of ADP bracis-28361 10 21 machine machine NOUN bracis-28361 10 22 - - PUNCT bracis-28361 10 23 learning learn VERB bracis-28361 10 24 projects project NOUN bracis-28361 10 25 . . PUNCT bracis-28361 11 1 essentially essentially ADV bracis-28361 11 2 , , PUNCT bracis-28361 11 3 it it PRON bracis-28361 11 4 involves involve VERB bracis-28361 11 5 deriving derive VERB bracis-28361 11 6 new new ADJ bracis-28361 11 7 features feature NOUN bracis-28361 11 8 from from ADP bracis-28361 11 9 existing exist VERB bracis-28361 11 10 data datum NOUN bracis-28361 11 11 to to PART bracis-28361 11 12 train train VERB bracis-28361 11 13 a a DET bracis-28361 11 14 model model NOUN bracis-28361 11 15 or or CCONJ bracis-28361 11 16 extract extract VERB bracis-28361 11 17 more more ADJ bracis-28361 11 18 information information NOUN bracis-28361 11 19 for for ADP bracis-28361 11 20 statistical statistical ADJ bracis-28361 11 21 analysis analysis NOUN bracis-28361 11 22 . . PUNCT bracis-28361 12 1 discovering discover VERB bracis-28361 12 2 novel novel ADJ bracis-28361 12 3 features feature NOUN bracis-28361 12 4 from from ADP bracis-28361 12 5 raw raw ADJ bracis-28361 12 6 datasets dataset NOUN bracis-28361 12 7 is be AUX bracis-28361 12 8 often often ADV bracis-28361 12 9 the the DET bracis-28361 12 10 key key NOUN bracis-28361 12 11 to to ADP bracis-28361 12 12 improving improve VERB bracis-28361 12 13 model model NOUN bracis-28361 12 14 performance performance NOUN bracis-28361 12 15 [ [ X bracis-28361 12 16 1 1 NUM bracis-28361 12 17 ] ] PUNCT bracis-28361 12 18 . . PUNCT bracis-28361 13 1 traditionally traditionally ADV bracis-28361 13 2 , , PUNCT bracis-28361 13 3 feature feature NOUN bracis-28361 13 4 creation creation NOUN bracis-28361 13 5 is be AUX bracis-28361 13 6 a a DET bracis-28361 13 7 manual manual ADJ bracis-28361 13 8 process process NOUN bracis-28361 13 9 that that PRON bracis-28361 13 10 heavily heavily ADV bracis-28361 13 11 relies rely VERB bracis-28361 13 12 on on ADP bracis-28361 13 13 an an DET bracis-28361 13 14 analyst analyst NOUN bracis-28361 13 15 ’s ’s PART bracis-28361 13 16 domain domain NOUN bracis-28361 13 17 knowledge knowledge NOUN bracis-28361 13 18 and and CCONJ bracis-28361 13 19 programming programming NOUN bracis-28361 13 20 skills skill NOUN bracis-28361 13 21 . . PUNCT bracis-28361 14 1 however however ADV bracis-28361 14 2 , , PUNCT bracis-28361 14 3 this this DET bracis-28361 14 4 approach approach NOUN bracis-28361 14 5 can can AUX bracis-28361 14 6 be be AUX bracis-28361 14 7 limiting limit VERB bracis-28361 14 8 , , PUNCT bracis-28361 14 9 as as SCONJ bracis-28361 14 10 an an DET bracis-28361 14 11 analyst analyst NOUN bracis-28361 14 12 ’s ’s PART bracis-28361 14 13 intuition intuition NOUN bracis-28361 14 14 and and CCONJ bracis-28361 14 15 expertise expertise NOUN bracis-28361 14 16 often often ADV bracis-28361 14 17 influence influence VERB bracis-28361 14 18 the the DET bracis-28361 14 19 features feature NOUN bracis-28361 14 20 created create VERB bracis-28361 14 21 . . PUNCT bracis-28361 15 1 to to PART bracis-28361 15 2 overcome overcome VERB bracis-28361 15 3 these these DET bracis-28361 15 4 limitations limitation NOUN bracis-28361 15 5 , , PUNCT bracis-28361 15 6 researchers researcher NOUN bracis-28361 15 7 have have AUX bracis-28361 15 8 been be AUX bracis-28361 15 9 exploring explore VERB bracis-28361 15 10 the the DET bracis-28361 15 11 field field NOUN bracis-28361 15 12 of of ADP bracis-28361 15 13 automated automate VERB bracis-28361 15 14 feature feature NOUN bracis-28361 15 15 engineering engineering NOUN bracis-28361 15 16 ( ( PUNCT bracis-28361 15 17 autofe autofe PROPN bracis-28361 15 18 ) ) PUNCT bracis-28361 15 19 . . PUNCT bracis-28361 16 1 autofe autofe PROPN bracis-28361 16 2 aims aim VERB bracis-28361 16 3 to to PART bracis-28361 16 4 automate automate VERB bracis-28361 16 5 the the DET bracis-28361 16 6 feature feature NOUN bracis-28361 16 7 creation creation NOUN bracis-28361 16 8 process process NOUN bracis-28361 16 9 , , PUNCT bracis-28361 16 10 enabling enable VERB bracis-28361 16 11 the the DET bracis-28361 16 12 discovery discovery NOUN bracis-28361 16 13 of of ADP bracis-28361 16 14 more more ADV bracis-28361 16 15 complex complex ADJ bracis-28361 16 16 and and CCONJ bracis-28361 16 17 effective effective ADJ bracis-28361 16 18 features feature NOUN bracis-28361 16 19 without without ADP bracis-28361 16 20 relying rely VERB bracis-28361 16 21 solely solely ADV bracis-28361 16 22 on on ADP bracis-28361 16 23 human human ADJ bracis-28361 16 24 input input NOUN bracis-28361 16 25 . . PUNCT bracis-28361 17 1 automated automate VERB bracis-28361 17 2 feature feature NOUN bracis-28361 17 3 engineering engineering NOUN bracis-28361 17 4 methods method NOUN bracis-28361 17 5 involve involve VERB bracis-28361 17 6 applying apply VERB bracis-28361 17 7 transformations transformation NOUN bracis-28361 17 8 to to ADP bracis-28361 17 9 raw raw ADJ bracis-28361 17 10 data datum NOUN bracis-28361 17 11 to to PART bracis-28361 17 12 create create VERB bracis-28361 17 13 new new ADJ bracis-28361 17 14 features feature NOUN bracis-28361 17 15 . . PUNCT bracis-28361 18 1 one one NUM bracis-28361 18 2 commonly commonly ADV bracis-28361 18 3 used use VERB bracis-28361 18 4 technique technique NOUN bracis-28361 18 5 is be AUX bracis-28361 18 6 the the DET bracis-28361 18 7 expansion expansion NOUN bracis-28361 18 8 - - PUNCT bracis-28361 18 9 reduction reduction NOUN bracis-28361 18 10 method method NOUN bracis-28361 18 11 [ [ X bracis-28361 18 12 4 4 NUM bracis-28361 18 13 ] ] PUNCT bracis-28361 18 14 , , PUNCT bracis-28361 18 15 which which PRON bracis-28361 18 16 generates generate VERB bracis-28361 18 17 a a DET bracis-28361 18 18 large large ADJ bracis-28361 18 19 number number NOUN bracis-28361 18 20 of of ADP bracis-28361 18 21 features feature NOUN bracis-28361 18 22 and and CCONJ bracis-28361 18 23 then then ADV bracis-28361 18 24 applies apply VERB bracis-28361 18 25 a a DET bracis-28361 18 26 feature feature NOUN bracis-28361 18 27 selection selection NOUN bracis-28361 18 28 algorithm algorithm NOUN bracis-28361 18 29 to to PART bracis-28361 18 30 reduce reduce VERB bracis-28361 18 31 their their PRON bracis-28361 18 32 dimensionality dimensionality NOUN bracis-28361 18 33 . . PUNCT bracis-28361 19 1 during during ADP bracis-28361 19 2 the the DET bracis-28361 19 3 expansion expansion NOUN bracis-28361 19 4 phase phase NOUN bracis-28361 19 5 , , PUNCT bracis-28361 19 6 various various ADJ bracis-28361 19 7 transformations transformation NOUN bracis-28361 19 8 , , PUNCT bracis-28361 19 9 such such ADJ bracis-28361 19 10 as as ADP bracis-28361 19 11 logarithmic logarithmic ADJ bracis-28361 19 12 , , PUNCT bracis-28361 19 13 max max PROPN bracis-28361 19 14 / / SYM bracis-28361 19 15 min min PROPN bracis-28361 19 16 , , PUNCT bracis-28361 19 17 or or CCONJ bracis-28361 19 18 sum sum NOUN bracis-28361 19 19 , , PUNCT bracis-28361 19 20 are be AUX bracis-28361 19 21 applied apply VERB bracis-28361 19 22 to to ADP bracis-28361 19 23 the the DET bracis-28361 19 24 raw raw ADJ bracis-28361 19 25 data datum NOUN bracis-28361 19 26 . . PUNCT bracis-28361 20 1 in in ADP bracis-28361 20 2 the the DET bracis-28361 20 3 reduction reduction NOUN bracis-28361 20 4 phase phase NOUN bracis-28361 20 5 , , PUNCT bracis-28361 20 6 a a DET bracis-28361 20 7 feature feature NOUN bracis-28361 20 8 selection selection NOUN bracis-28361 20 9 method method NOUN bracis-28361 20 10 is be AUX bracis-28361 20 11 utilized utilize VERB bracis-28361 20 12 to to PART bracis-28361 20 13 identify identify VERB bracis-28361 20 14 the the DET bracis-28361 20 15 most most ADV bracis-28361 20 16 effective effective ADJ bracis-28361 20 17 set set NOUN bracis-28361 20 18 of of ADP bracis-28361 20 19 features feature NOUN bracis-28361 20 20 , , PUNCT bracis-28361 20 21 which which PRON bracis-28361 20 22 can can AUX bracis-28361 20 23 significantly significantly ADV bracis-28361 20 24 enhance enhance VERB bracis-28361 20 25 a a DET bracis-28361 20 26 model model NOUN bracis-28361 20 27 ’s ’s PART bracis-28361 20 28 performance performance NOUN bracis-28361 20 29 . . PUNCT bracis-28361 21 1 the the DET bracis-28361 21 2 possible possible ADJ bracis-28361 21 3 number number NOUN bracis-28361 21 4 of of ADP bracis-28361 21 5 transformation transformation NOUN bracis-28361 21 6 operations operation NOUN bracis-28361 21 7 that that PRON bracis-28361 21 8 can can AUX bracis-28361 21 9 be be AUX bracis-28361 21 10 performed perform VERB bracis-28361 21 11 on on ADP bracis-28361 21 12 already already ADV bracis-28361 21 13 - - PUNCT bracis-28361 21 14 transformed transform VERB bracis-28361 21 15 features feature NOUN bracis-28361 21 16 is be AUX bracis-28361 21 17 practically practically ADV bracis-28361 21 18 infinite infinite ADJ bracis-28361 21 19 , , PUNCT bracis-28361 21 20 which which PRON bracis-28361 21 21 leads lead VERB bracis-28361 21 22 to to ADP bracis-28361 21 23 an an DET bracis-28361 21 24 exponential exponential ADJ bracis-28361 21 25 increase increase NOUN bracis-28361 21 26 in in ADP bracis-28361 21 27 the the DET bracis-28361 21 28 feature feature NOUN bracis-28361 21 29 space space NOUN bracis-28361 21 30 . . PUNCT bracis-28361 22 1 this this DET bracis-28361 22 2 issue issue NOUN bracis-28361 22 3 can can AUX bracis-28361 22 4 cause cause VERB bracis-28361 22 5 a a DET bracis-28361 22 6 problem problem NOUN bracis-28361 22 7 in in ADP bracis-28361 22 8 reducing reduce VERB bracis-28361 22 9 the the DET bracis-28361 22 10 number number NOUN bracis-28361 22 11 of of ADP bracis-28361 22 12 feature feature NOUN bracis-28361 22 13 evaluations evaluation NOUN bracis-28361 22 14 required require VERB bracis-28361 22 15 . . PUNCT bracis-28361 23 1 to to PART bracis-28361 23 2 address address VERB bracis-28361 23 3 this this DET bracis-28361 23 4 issue issue NOUN bracis-28361 23 5 , , PUNCT bracis-28361 23 6 researchers researcher NOUN bracis-28361 23 7 have have AUX bracis-28361 23 8 proposed propose VERB bracis-28361 23 9 adaptive adaptive ADJ bracis-28361 23 10 methods method NOUN bracis-28361 23 11 for for ADP bracis-28361 23 12 autofe autofe NOUN bracis-28361 23 13 . . PUNCT bracis-28361 24 1 for for ADP bracis-28361 24 2 instance instance NOUN bracis-28361 24 3 , , PUNCT bracis-28361 24 4 khurana khurana PROPN bracis-28361 24 5 et et PROPN bracis-28361 24 6 al al PROPN bracis-28361 24 7 . . PUNCT bracis-28361 25 1 [ [ X bracis-28361 25 2 5 5 NUM bracis-28361 25 3 ] ] PUNCT bracis-28361 25 4 introduced introduce VERB bracis-28361 25 5 a a DET bracis-28361 25 6 q q NOUN bracis-28361 25 7 - - PUNCT bracis-28361 25 8 learning learn VERB bracis-28361 25 9 agent agent NOUN bracis-28361 25 10 capable capable ADJ bracis-28361 25 11 of of ADP bracis-28361 25 12 performing perform VERB bracis-28361 25 13 feature feature NOUN bracis-28361 25 14 transformation transformation NOUN bracis-28361 25 15 search search NOUN bracis-28361 25 16 , , PUNCT bracis-28361 25 17 achieving achieve VERB bracis-28361 25 18 higher high ADJ bracis-28361 25 19 performance performance NOUN bracis-28361 25 20 but but CCONJ bracis-28361 25 21 still still ADV bracis-28361 25 22 generating generate VERB bracis-28361 25 23 a a DET bracis-28361 25 24 large large ADJ bracis-28361 25 25 number number NOUN bracis-28361 25 26 of of ADP bracis-28361 25 27 features feature NOUN bracis-28361 25 28 . . PUNCT bracis-28361 26 1 in in ADP bracis-28361 26 2 another another DET bracis-28361 26 3 study study NOUN bracis-28361 26 4 [ [ X bracis-28361 26 5 6 6 NUM bracis-28361 26 6 ] ] PUNCT bracis-28361 26 7 , , PUNCT bracis-28361 26 8 a a DET bracis-28361 26 9 multi multi ADJ bracis-28361 26 10 - - ADJ bracis-28361 26 11 layer layer ADJ bracis-28361 26 12 perceptron perceptron NOUN bracis-28361 26 13 ( ( PUNCT bracis-28361 26 14 mlp mlp PROPN bracis-28361 26 15 ) ) PUNCT bracis-28361 26 16 was be AUX bracis-28361 26 17 trained train VERB bracis-28361 26 18 to to PART bracis-28361 26 19 suggest suggest VERB bracis-28361 26 20 the the DET bracis-28361 26 21 best good ADJ bracis-28361 26 22 transformations transformation NOUN bracis-28361 26 23 for for ADP bracis-28361 26 24 each each DET bracis-28361 26 25 raw raw ADJ bracis-28361 26 26 feature feature NOUN bracis-28361 26 27 , , PUNCT bracis-28361 26 28 resolving resolve VERB bracis-28361 26 29 the the DET bracis-28361 26 30 problem problem NOUN bracis-28361 26 31 of of ADP bracis-28361 26 32 excessive excessive ADJ bracis-28361 26 33 feature feature NOUN bracis-28361 26 34 generation generation NOUN bracis-28361 26 35 . . PUNCT bracis-28361 27 1 more more ADV bracis-28361 27 2 recently recently ADV bracis-28361 27 3 , , PUNCT bracis-28361 27 4 difer difer VERB bracis-28361 27 5 [ [ X bracis-28361 27 6 7 7 NUM bracis-28361 27 7 ] ] PUNCT bracis-28361 27 8 , , PUNCT bracis-28361 27 9 a a DET bracis-28361 27 10 gradient gradient NOUN bracis-28361 27 11 - - PUNCT bracis-28361 27 12 based base VERB bracis-28361 27 13 method method NOUN bracis-28361 27 14 for for ADP bracis-28361 27 15 differentiable differentiable ADJ bracis-28361 27 16 autofe autofe NOUN bracis-28361 27 17 , , PUNCT bracis-28361 27 18 has have AUX bracis-28361 27 19 demonstrated demonstrate VERB bracis-28361 27 20 superior superior ADJ bracis-28361 27 21 performance performance NOUN bracis-28361 27 22 and and CCONJ bracis-28361 27 23 computational computational ADJ bracis-28361 27 24 efficiency efficiency NOUN bracis-28361 27 25 compared compare VERB bracis-28361 27 26 to to ADP bracis-28361 27 27 other other ADJ bracis-28361 27 28 approaches approach NOUN bracis-28361 27 29 , , PUNCT bracis-28361 27 30 although although SCONJ bracis-28361 27 31 it it PRON bracis-28361 27 32 still still ADV bracis-28361 27 33 requires require VERB bracis-28361 27 34 significant significant ADJ bracis-28361 27 35 computation computation NOUN bracis-28361 27 36 in in ADP bracis-28361 27 37 recent recent ADJ bracis-28361 27 38 years year NOUN bracis-28361 27 39 , , PUNCT bracis-28361 27 40 the the DET bracis-28361 27 41 use use NOUN bracis-28361 27 42 of of ADP bracis-28361 27 43 deep deep ADJ bracis-28361 27 44 neural neural ADJ bracis-28361 27 45 networks network NOUN bracis-28361 27 46 ( ( PUNCT bracis-28361 27 47 dnns dnn NOUN bracis-28361 27 48 ) ) PUNCT bracis-28361 27 49 has have AUX bracis-28361 27 50 become become VERB bracis-28361 27 51 increasingly increasingly ADV bracis-28361 27 52 widespread widespread ADJ bracis-28361 27 53 across across ADP bracis-28361 27 54 a a DET bracis-28361 27 55 range range NOUN bracis-28361 27 56 of of ADP bracis-28361 27 57 fields field NOUN bracis-28361 27 58 , , PUNCT bracis-28361 27 59 such such ADJ bracis-28361 27 60 as as ADP bracis-28361 27 61 computer computer NOUN bracis-28361 27 62 vision vision NOUN bracis-28361 27 63 and and CCONJ bracis-28361 27 64 natural natural ADJ bracis-28361 27 65 language language NOUN bracis-28361 27 66 processing processing NOUN bracis-28361 27 67 [ [ X bracis-28361 27 68 14 14 NUM bracis-28361 27 69 , , PUNCT bracis-28361 27 70 15 15 NUM bracis-28361 27 71 ] ] PUNCT bracis-28361 27 72 . . PUNCT bracis-28361 28 1 typically typically ADV bracis-28361 28 2 , , PUNCT bracis-28361 28 3 these these DET bracis-28361 28 4 models model NOUN bracis-28361 28 5 extract extract VERB bracis-28361 28 6 new new ADJ bracis-28361 28 7 features feature NOUN bracis-28361 28 8 by by ADP bracis-28361 28 9 feeding feed VERB bracis-28361 28 10 input input NOUN bracis-28361 28 11 features feature NOUN bracis-28361 28 12 into into ADP bracis-28361 28 13 the the DET bracis-28361 28 14 hidden hidden ADJ bracis-28361 28 15 layers layer NOUN bracis-28361 28 16 of of ADP bracis-28361 28 17 a a DET bracis-28361 28 18 dnn dnn PROPN bracis-28361 28 19 . . PUNCT bracis-28361 29 1 while while SCONJ bracis-28361 29 2 this this DET bracis-28361 29 3 approach approach NOUN bracis-28361 29 4 is be AUX bracis-28361 29 5 effective effective ADJ bracis-28361 29 6 in in ADP bracis-28361 29 7 capturing capture VERB bracis-28361 29 8 complex complex ADJ bracis-28361 29 9 interactions interaction NOUN bracis-28361 29 10 between between ADP bracis-28361 29 11 implicit implicit ADJ bracis-28361 29 12 and and CCONJ bracis-28361 29 13 explicit explicit ADJ bracis-28361 29 14 features feature NOUN bracis-28361 29 15 , , PUNCT bracis-28361 29 16 it it PRON bracis-28361 29 17 may may AUX bracis-28361 29 18 not not PART bracis-28361 29 19 always always ADV bracis-28361 29 20 generate generate VERB bracis-28361 29 21 useful useful ADJ bracis-28361 29 22 new new ADJ bracis-28361 29 23 features feature NOUN bracis-28361 29 24 due due ADP bracis-28361 29 25 to to ADP bracis-28361 29 26 a a DET bracis-28361 29 27 lack lack NOUN bracis-28361 29 28 of of ADP bracis-28361 29 29 relevant relevant ADJ bracis-28361 29 30 interactions interaction NOUN bracis-28361 29 31 in in ADP bracis-28361 29 32 the the DET bracis-28361 29 33 dataset dataset NOUN bracis-28361 29 34 [ [ X bracis-28361 29 35 9 9 NUM bracis-28361 29 36 ] ] PUNCT bracis-28361 29 37 . . PUNCT bracis-28361 30 1 moreover moreover ADV bracis-28361 30 2 , , PUNCT bracis-28361 30 3 most most ADJ bracis-28361 30 4 existing exist VERB bracis-28361 30 5 works work NOUN bracis-28361 30 6 use use VERB bracis-28361 30 7 max max PROPN bracis-28361 30 8 - - PUNCT bracis-28361 30 9 pooling pooling NOUN bracis-28361 30 10 in in ADP bracis-28361 30 11 the the DET bracis-28361 30 12 pooling pool VERB bracis-28361 30 13 layer layer NOUN bracis-28361 30 14 , , PUNCT bracis-28361 30 15 which which PRON bracis-28361 30 16 may may AUX bracis-28361 30 17 not not PART bracis-28361 30 18 be be AUX bracis-28361 30 19 optimal optimal ADJ bracis-28361 30 20 for for ADP bracis-28361 30 21 tabular tabular NOUN bracis-28361 30 22 data datum NOUN bracis-28361 30 23 because because SCONJ bracis-28361 30 24 it it PRON bracis-28361 30 25 does do AUX bracis-28361 30 26 not not PART bracis-28361 30 27 preserve preserve VERB bracis-28361 30 28 the the DET bracis-28361 30 29 order order NOUN bracis-28361 30 30 and and CCONJ bracis-28361 30 31 context context NOUN bracis-28361 30 32 of of ADP bracis-28361 30 33 features feature NOUN bracis-28361 30 34 in in ADP bracis-28361 30 35 the the DET bracis-28361 30 36 data datum NOUN bracis-28361 30 37 matrix matrix NOUN bracis-28361 30 38 . . PUNCT bracis-28361 31 1 additionally additionally ADV bracis-28361 31 2 , , PUNCT bracis-28361 31 3 max max PROPN bracis-28361 31 4 - - PUNCT bracis-28361 31 5 pooling pooling NOUN bracis-28361 31 6 is be AUX bracis-28361 31 7 intended intend VERB bracis-28361 31 8 to to PART bracis-28361 31 9 identify identify VERB bracis-28361 31 10 the the DET bracis-28361 31 11 most most ADV bracis-28361 31 12 significant significant ADJ bracis-28361 31 13 features feature NOUN bracis-28361 31 14 within within ADP bracis-28361 31 15 an an DET bracis-28361 31 16 image image NOUN bracis-28361 31 17 , , PUNCT bracis-28361 31 18 which which PRON bracis-28361 31 19 may may AUX bracis-28361 31 20 not not PART bracis-28361 31 21 always always ADV bracis-28361 31 22 be be AUX bracis-28361 31 23 relevant relevant ADJ bracis-28361 31 24 or or CCONJ bracis-28361 31 25 effective effective ADJ bracis-28361 31 26 for for ADP bracis-28361 31 27 tabular tabular PROPN bracis-28361 31 28 data datum NOUN bracis-28361 31 29 . . PUNCT bracis-28361 32 1 to to PART bracis-28361 32 2 address address VERB bracis-28361 32 3 the the DET bracis-28361 32 4 limitations limitation NOUN bracis-28361 32 5 of of ADP bracis-28361 32 6 existing exist VERB bracis-28361 32 7 autofe autofe NOUN bracis-28361 32 8 methods method NOUN bracis-28361 32 9 , , PUNCT bracis-28361 32 10 we we PRON bracis-28361 32 11 propose propose VERB bracis-28361 32 12 featgenn featgenn NOUN bracis-28361 32 13 , , PUNCT bracis-28361 32 14 a a DET bracis-28361 32 15 convolutional convolutional ADJ bracis-28361 32 16 approach approach NOUN bracis-28361 32 17 that that PRON bracis-28361 32 18 leverages leverage VERB bracis-28361 32 19 correlation correlation NOUN bracis-28361 32 20 as as ADP bracis-28361 32 21 a a DET bracis-28361 32 22 pooling pooling NOUN bracis-28361 32 23 function function NOUN bracis-28361 32 24 to to PART bracis-28361 32 25 extract extract VERB bracis-28361 32 26 and and CCONJ bracis-28361 32 27 generate generate VERB bracis-28361 32 28 new new ADJ bracis-28361 32 29 features feature NOUN bracis-28361 32 30 . . PUNCT bracis-28361 33 1 featgenn featgenn PROPN bracis-28361 33 2 first first ADV bracis-28361 33 3 applies apply VERB bracis-28361 33 4 convolutional convolutional ADJ bracis-28361 33 5 filters filter NOUN bracis-28361 33 6 to to ADP bracis-28361 33 7 the the DET bracis-28361 33 8 raw raw ADJ bracis-28361 33 9 data datum NOUN bracis-28361 33 10 to to PART bracis-28361 33 11 extract extract VERB bracis-28361 33 12 high high ADJ bracis-28361 33 13 - - PUNCT bracis-28361 33 14 level level NOUN bracis-28361 33 15 representations representation NOUN bracis-28361 33 16 . . PUNCT bracis-28361 34 1 then then ADV bracis-28361 34 2 , , PUNCT bracis-28361 34 3 instead instead ADV bracis-28361 34 4 of of ADP bracis-28361 34 5 using use VERB bracis-28361 34 6 traditional traditional ADJ bracis-28361 34 7 pooling pooling NOUN bracis-28361 34 8 functions function NOUN bracis-28361 34 9 like like ADP bracis-28361 34 10 max max PROPN bracis-28361 34 11 or or CCONJ bracis-28361 34 12 average average ADJ bracis-28361 34 13 pooling pooling NOUN bracis-28361 34 14 , , PUNCT bracis-28361 34 15 it it PRON bracis-28361 34 16 computes compute VERB bracis-28361 34 17 the the DET bracis-28361 34 18 correlation correlation NOUN bracis-28361 34 19 between between ADP bracis-28361 34 20 the the DET bracis-28361 34 21 extracted extract VERB bracis-28361 34 22 features feature NOUN bracis-28361 34 23 , , PUNCT bracis-28361 34 24 which which PRON bracis-28361 34 25 helps help VERB bracis-28361 34 26 to to PART bracis-28361 34 27 identify identify VERB bracis-28361 34 28 the the DET bracis-28361 34 29 most most ADV bracis-28361 34 30 informative informative ADJ bracis-28361 34 31 features feature NOUN bracis-28361 34 32 . . PUNCT bracis-28361 35 1 the the DET bracis-28361 35 2 selected select VERB bracis-28361 35 3 features feature NOUN bracis-28361 35 4 are be AUX bracis-28361 35 5 then then ADV bracis-28361 35 6 passed pass VERB bracis-28361 35 7 through through ADP bracis-28361 35 8 a a DET bracis-28361 35 9 multi multi ADJ bracis-28361 35 10 - - ADJ bracis-28361 35 11 layer layer ADJ bracis-28361 35 12 perceptron perceptron NOUN bracis-28361 35 13 ( ( PUNCT bracis-28361 35 14 mlp mlp NOUN bracis-28361 35 15 ) ) PUNCT bracis-28361 35 16 to to PART bracis-28361 35 17 create create VERB bracis-28361 35 18 the the DET bracis-28361 35 19 final final ADJ bracis-28361 35 20 set set NOUN bracis-28361 35 21 of of ADP bracis-28361 35 22 new new ADJ bracis-28361 35 23 features feature NOUN bracis-28361 35 24 . . PUNCT bracis-28361 36 1 preliminary preliminary ADJ bracis-28361 36 2 results result NOUN bracis-28361 36 3 indicate indicate VERB bracis-28361 36 4 that that SCONJ bracis-28361 36 5 featgenn featgenn NOUN bracis-28361 36 6 outperforms outperform VERB bracis-28361 36 7 existing exist VERB bracis-28361 36 8 autofe autofe NOUN bracis-28361 36 9 methods method NOUN bracis-28361 36 10 in in ADP bracis-28361 36 11 both both CCONJ bracis-28361 36 12 the the DET bracis-28361 36 13 number number NOUN bracis-28361 36 14 of of ADP bracis-28361 36 15 generated generate VERB bracis-28361 36 16 features feature NOUN bracis-28361 36 17 and and CCONJ bracis-28361 36 18 model model NOUN bracis-28361 36 19 performance performance NOUN bracis-28361 36 20 , , PUNCT bracis-28361 36 21 demonstrating demonstrate VERB bracis-28361 36 22 its its PRON bracis-28361 36 23 potential potential NOUN bracis-28361 36 24 as as ADP bracis-28361 36 25 a a DET bracis-28361 36 26 potent potent ADJ bracis-28361 36 27 tool tool NOUN bracis-28361 36 28 for for ADP bracis-28361 36 29 creating create VERB bracis-28361 36 30 features feature NOUN bracis-28361 36 31 in in ADP bracis-28361 36 32 machine machine NOUN bracis-28361 36 33 learning learning NOUN bracis-28361 36 34 . . PUNCT bracis-28361 37 1 2 2 NUM bracis-28361 37 2 related related ADJ bracis-28361 37 3 work work NOUN bracis-28361 37 4 the the DET bracis-28361 37 5 main main ADJ bracis-28361 37 6 goal goal NOUN bracis-28361 37 7 of of ADP bracis-28361 37 8 feature feature NOUN bracis-28361 37 9 engineering engineering NOUN bracis-28361 37 10 is be AUX bracis-28361 37 11 to to PART bracis-28361 37 12 transform transform VERB bracis-28361 37 13 raw raw ADJ bracis-28361 37 14 data datum NOUN bracis-28361 37 15 into into ADP bracis-28361 37 16 new new ADJ bracis-28361 37 17 features feature NOUN bracis-28361 37 18 that that PRON bracis-28361 37 19 can can AUX bracis-28361 37 20 better well ADV bracis-28361 37 21 express express VERB bracis-28361 37 22 the the DET bracis-28361 37 23 problem problem NOUN bracis-28361 37 24 to to PART bracis-28361 37 25 be be AUX bracis-28361 37 26 solved solve VERB bracis-28361 37 27 . . PUNCT bracis-28361 38 1 training train VERB bracis-28361 38 2 a a DET bracis-28361 38 3 model model NOUN bracis-28361 38 4 with with ADP bracis-28361 38 5 the the DET bracis-28361 38 6 generated generate VERB bracis-28361 38 7 features feature NOUN bracis-28361 38 8 can can AUX bracis-28361 38 9 increase increase VERB bracis-28361 38 10 the the DET bracis-28361 38 11 performance performance NOUN bracis-28361 38 12 of of ADP bracis-28361 38 13 the the DET bracis-28361 38 14 model model NOUN bracis-28361 38 15 . . PUNCT bracis-28361 39 1 however however ADV bracis-28361 39 2 , , PUNCT bracis-28361 39 3 the the DET bracis-28361 39 4 process process NOUN bracis-28361 39 5 of of ADP bracis-28361 39 6 feature feature NOUN bracis-28361 39 7 engineering engineering NOUN bracis-28361 39 8 can can AUX bracis-28361 39 9 be be AUX bracis-28361 39 10 limited limit VERB bracis-28361 39 11 by by ADP bracis-28361 39 12 the the DET bracis-28361 39 13 expertise expertise NOUN bracis-28361 39 14 , , PUNCT bracis-28361 39 15 programming programming NOUN bracis-28361 39 16 skills skill NOUN bracis-28361 39 17 , , PUNCT bracis-28361 39 18 and and CCONJ bracis-28361 39 19 intuition intuition NOUN bracis-28361 39 20 of of ADP bracis-28361 39 21 the the DET bracis-28361 39 22 person person NOUN bracis-28361 39 23 working work VERB bracis-28361 39 24 with with ADP bracis-28361 39 25 the the DET bracis-28361 39 26 data datum NOUN bracis-28361 39 27 . . PUNCT bracis-28361 40 1 for for ADP bracis-28361 40 2 this this DET bracis-28361 40 3 reason reason NOUN bracis-28361 40 4 , , PUNCT bracis-28361 40 5 autofe autofe NOUN bracis-28361 40 6 approaches approach NOUN bracis-28361 40 7 have have AUX bracis-28361 40 8 recently recently ADV bracis-28361 40 9 gained gain VERB bracis-28361 40 10 attention attention NOUN bracis-28361 40 11 . . PUNCT bracis-28361 41 1 the the DET bracis-28361 41 2 authors author NOUN bracis-28361 41 3 of of ADP bracis-28361 41 4 [ [ X bracis-28361 41 5 7 7 NUM bracis-28361 41 6 ] ] X bracis-28361 41 7 propose propose VERB bracis-28361 41 8 a a DET bracis-28361 41 9 differentiable differentiable ADJ bracis-28361 41 10 automl automl NOUN bracis-28361 41 11 model model NOUN bracis-28361 41 12 that that PRON bracis-28361 41 13 efficiently efficiently ADV bracis-28361 41 14 extracts extract VERB bracis-28361 41 15 low low ADJ bracis-28361 41 16 and and CCONJ bracis-28361 41 17 high high ADJ bracis-28361 41 18 - - PUNCT bracis-28361 41 19 order order NOUN bracis-28361 41 20 features feature NOUN bracis-28361 41 21 . . PUNCT bracis-28361 42 1 the the DET bracis-28361 42 2 model model NOUN bracis-28361 42 3 includes include VERB bracis-28361 42 4 three three NUM bracis-28361 42 5 steps step NOUN bracis-28361 42 6 : : PUNCT bracis-28361 42 7 initialization initialization NOUN bracis-28361 42 8 , , PUNCT bracis-28361 42 9 optimizer optimizer NOUN bracis-28361 42 10 training training NOUN bracis-28361 42 11 , , PUNCT bracis-28361 42 12 and and CCONJ bracis-28361 42 13 feature feature NOUN bracis-28361 42 14 evaluation evaluation NOUN bracis-28361 42 15 . . PUNCT bracis-28361 43 1 in in ADP bracis-28361 43 2 initialization initialization NOUN bracis-28361 43 3 , , PUNCT bracis-28361 43 4 features feature NOUN bracis-28361 43 5 are be AUX bracis-28361 43 6 constructed construct VERB bracis-28361 43 7 randomly randomly ADV bracis-28361 43 8 and and CCONJ bracis-28361 43 9 evaluated evaluate VERB bracis-28361 43 10 using use VERB bracis-28361 43 11 a a DET bracis-28361 43 12 machine machine NOUN bracis-28361 43 13 - - PUNCT bracis-28361 43 14 learning learn VERB bracis-28361 43 15 model model NOUN bracis-28361 43 16 in in ADP bracis-28361 43 17 the the DET bracis-28361 43 18 validation validation NOUN bracis-28361 43 19 set set NOUN bracis-28361 43 20 . . PUNCT bracis-28361 44 1 in in ADP bracis-28361 44 2 training train VERB bracis-28361 44 3 the the DET bracis-28361 44 4 optimizer optimizer NOUN bracis-28361 44 5 , , PUNCT bracis-28361 44 6 a a DET bracis-28361 44 7 tree tree NOUN bracis-28361 44 8 - - PUNCT bracis-28361 44 9 like like ADJ bracis-28361 44 10 structure structure NOUN bracis-28361 44 11 is be AUX bracis-28361 44 12 created create VERB bracis-28361 44 13 with with ADP bracis-28361 44 14 an an DET bracis-28361 44 15 encoder encoder NOUN bracis-28361 44 16 , , PUNCT bracis-28361 44 17 a a DET bracis-28361 44 18 predictor predictor NOUN bracis-28361 44 19 , , PUNCT bracis-28361 44 20 and and CCONJ bracis-28361 44 21 a a DET bracis-28361 44 22 decoder decoder NOUN bracis-28361 44 23 , , PUNCT bracis-28361 44 24 called call VERB bracis-28361 44 25 a a DET bracis-28361 44 26 parse parse NOUN bracis-28361 44 27 tree tree NOUN bracis-28361 44 28 . . PUNCT bracis-28361 45 1 the the DET bracis-28361 45 2 encoder encoder NOUN bracis-28361 45 3 maps map VERB bracis-28361 45 4 the the DET bracis-28361 45 5 post post ADJ bracis-28361 45 6 - - ADJ bracis-28361 45 7 order order ADJ bracis-28361 45 8 traversal traversal NOUN bracis-28361 45 9 string string NOUN bracis-28361 45 10 to to ADP bracis-28361 45 11 a a DET bracis-28361 45 12 continuous continuous ADJ bracis-28361 45 13 space space NOUN bracis-28361 45 14 , , PUNCT bracis-28361 45 15 the the DET bracis-28361 45 16 predictor predictor NOUN bracis-28361 45 17 is be AUX bracis-28361 45 18 a a DET bracis-28361 45 19 5 5 NUM bracis-28361 45 20 - - PUNCT bracis-28361 45 21 layer layer NOUN bracis-28361 45 22 mlp mlp NOUN bracis-28361 45 23 that that PRON bracis-28361 45 24 maps map VERB bracis-28361 45 25 the the DET bracis-28361 45 26 representation representation NOUN bracis-28361 45 27 to to ADP bracis-28361 45 28 the the DET bracis-28361 45 29 score score NOUN bracis-28361 45 30 computed compute VERB bracis-28361 45 31 by by ADP bracis-28361 45 32 a a DET bracis-28361 45 33 machine machine NOUN bracis-28361 45 34 learning learn VERB bracis-28361 45 35 model model NOUN bracis-28361 45 36 , , PUNCT bracis-28361 45 37 and and CCONJ bracis-28361 45 38 the the DET bracis-28361 45 39 decoder decoder NOUN bracis-28361 45 40 maps map VERB bracis-28361 45 41 the the DET bracis-28361 45 42 embedding embed VERB bracis-28361 45 43 to to ADP bracis-28361 45 44 the the DET bracis-28361 45 45 discrete discrete ADJ bracis-28361 45 46 feature feature NOUN bracis-28361 45 47 space space NOUN bracis-28361 45 48 . . PUNCT bracis-28361 46 1 in in ADP bracis-28361 46 2 the the DET bracis-28361 46 3 final final ADJ bracis-28361 46 4 step step NOUN bracis-28361 46 5 of of ADP bracis-28361 46 6 feature feature NOUN bracis-28361 46 7 evolution evolution NOUN bracis-28361 46 8 , , PUNCT bracis-28361 46 9 the the DET bracis-28361 46 10 best good ADJ bracis-28361 46 11 n n PRON bracis-28361 46 12 features feature NOUN bracis-28361 46 13 are be AUX bracis-28361 46 14 selected select VERB bracis-28361 46 15 and and CCONJ bracis-28361 46 16 optimized optimize VERB bracis-28361 46 17 using use VERB bracis-28361 46 18 a a DET bracis-28361 46 19 gradient gradient NOUN bracis-28361 46 20 - - PUNCT bracis-28361 46 21 based base VERB bracis-28361 46 22 approach approach NOUN bracis-28361 46 23 . . PUNCT bracis-28361 47 1 in in ADP bracis-28361 47 2 [ [ X bracis-28361 47 3 4 4 NUM bracis-28361 47 4 ] ] PUNCT bracis-28361 47 5 , , PUNCT bracis-28361 47 6 the the DET bracis-28361 47 7 authors author NOUN bracis-28361 47 8 present present VERB bracis-28361 47 9 an an DET bracis-28361 47 10 algorithm algorithm NOUN bracis-28361 47 11 that that PRON bracis-28361 47 12 uses use VERB bracis-28361 47 13 mathematical mathematical ADJ bracis-28361 47 14 functions function NOUN bracis-28361 47 15 to to PART bracis-28361 47 16 generate generate VERB bracis-28361 47 17 new new ADJ bracis-28361 47 18 features feature NOUN bracis-28361 47 19 for for ADP bracis-28361 47 20 relational relational ADJ bracis-28361 47 21 databases database NOUN bracis-28361 47 22 . . PUNCT bracis-28361 48 1 the the DET bracis-28361 48 2 algorithm algorithm NOUN bracis-28361 48 3 begins begin VERB bracis-28361 48 4 by by ADP bracis-28361 48 5 identifying identify VERB bracis-28361 48 6 the the DET bracis-28361 48 7 entities entity NOUN bracis-28361 48 8 that that PRON bracis-28361 48 9 make make VERB bracis-28361 48 10 up up ADP bracis-28361 48 11 the the DET bracis-28361 48 12 database database NOUN bracis-28361 48 13 and and CCONJ bracis-28361 48 14 defines define VERB bracis-28361 48 15 a a DET bracis-28361 48 16 set set NOUN bracis-28361 48 17 of of ADP bracis-28361 48 18 mathematical mathematical ADJ bracis-28361 48 19 functions function NOUN bracis-28361 48 20 that that PRON bracis-28361 48 21 are be AUX bracis-28361 48 22 applied apply VERB bracis-28361 48 23 at at ADP bracis-28361 48 24 both both CCONJ bracis-28361 48 25 the the DET bracis-28361 48 26 entity entity NOUN bracis-28361 48 27 level level NOUN bracis-28361 48 28 and and CCONJ bracis-28361 48 29 the the DET bracis-28361 48 30 relational relational ADJ bracis-28361 48 31 level level NOUN bracis-28361 48 32 . . PUNCT bracis-28361 49 1 the the DET bracis-28361 49 2 proposed propose VERB bracis-28361 49 3 approach approach NOUN bracis-28361 49 4 first first ADV bracis-28361 49 5 enumerates enumerate VERB bracis-28361 49 6 all all DET bracis-28361 49 7 possible possible ADJ bracis-28361 49 8 transformations transformation NOUN bracis-28361 49 9 on on ADP bracis-28361 49 10 all all DET bracis-28361 49 11 features feature NOUN bracis-28361 49 12 and and CCONJ bracis-28361 49 13 then then ADV bracis-28361 49 14 directly directly ADV bracis-28361 49 15 selects select VERB bracis-28361 49 16 features feature NOUN bracis-28361 49 17 based base VERB bracis-28361 49 18 on on ADP bracis-28361 49 19 their their PRON bracis-28361 49 20 impact impact NOUN bracis-28361 49 21 on on ADP bracis-28361 49 22 model model NOUN bracis-28361 49 23 performance performance NOUN bracis-28361 49 24 . . PUNCT bracis-28361 50 1 however however ADV bracis-28361 50 2 , , PUNCT bracis-28361 50 3 due due ADP bracis-28361 50 4 to to ADP bracis-28361 50 5 the the DET bracis-28361 50 6 potentially potentially ADV bracis-28361 50 7 large large ADJ bracis-28361 50 8 number number NOUN bracis-28361 50 9 of of ADP bracis-28361 50 10 features feature NOUN bracis-28361 50 11 generated generate VERB bracis-28361 50 12 , , PUNCT bracis-28361 50 13 it it PRON bracis-28361 50 14 is be AUX bracis-28361 50 15 necessary necessary ADJ bracis-28361 50 16 to to PART bracis-28361 50 17 perform perform VERB bracis-28361 50 18 feature feature NOUN bracis-28361 50 19 selection selection NOUN bracis-28361 50 20 and and CCONJ bracis-28361 50 21 dimensionality dimensionality NOUN bracis-28361 50 22 reduction reduction NOUN bracis-28361 50 23 to to PART bracis-28361 50 24 avoid avoid VERB bracis-28361 50 25 overfitting overfitte VERB bracis-28361 50 26 and and CCONJ bracis-28361 50 27 improve improve VERB bracis-28361 50 28 the the DET bracis-28361 50 29 interpretability interpretability NOUN bracis-28361 50 30 of of ADP bracis-28361 50 31 the the DET bracis-28361 50 32 model model NOUN bracis-28361 50 33 . . PUNCT bracis-28361 51 1 in in ADP bracis-28361 51 2 [ [ X bracis-28361 51 3 6 6 NUM bracis-28361 51 4 ] ] PUNCT bracis-28361 51 5 , , PUNCT bracis-28361 51 6 the the DET bracis-28361 51 7 authors author NOUN bracis-28361 51 8 propose propose VERB bracis-28361 51 9 a a DET bracis-28361 51 10 novel novel ADJ bracis-28361 51 11 model model NOUN bracis-28361 51 12 for for ADP bracis-28361 51 13 feature feature NOUN bracis-28361 51 14 engineering engineering NOUN bracis-28361 51 15 in in ADP bracis-28361 51 16 classification classification NOUN bracis-28361 51 17 tasks task NOUN bracis-28361 51 18 that that PRON bracis-28361 51 19 can can AUX bracis-28361 51 20 generalize generalize VERB bracis-28361 51 21 the the DET bracis-28361 51 22 effects effect NOUN bracis-28361 51 23 of of ADP bracis-28361 51 24 different different ADJ bracis-28361 51 25 feature feature NOUN bracis-28361 51 26 transformations transformation NOUN bracis-28361 51 27 across across ADP bracis-28361 51 28 multiple multiple ADJ bracis-28361 51 29 datasets dataset NOUN bracis-28361 51 30 . . PUNCT bracis-28361 52 1 the the DET bracis-28361 52 2 model model NOUN bracis-28361 52 3 uses use VERB bracis-28361 52 4 an an DET bracis-28361 52 5 mlp mlp NOUN bracis-28361 52 6 for for ADP bracis-28361 52 7 each each DET bracis-28361 52 8 transformation transformation NOUN bracis-28361 52 9 to to PART bracis-28361 52 10 predict predict VERB bracis-28361 52 11 whether whether SCONJ bracis-28361 52 12 it it PRON bracis-28361 52 13 can can AUX bracis-28361 52 14 produce produce VERB bracis-28361 52 15 more more ADV bracis-28361 52 16 useful useful ADJ bracis-28361 52 17 features feature NOUN bracis-28361 52 18 than than ADP bracis-28361 52 19 the the DET bracis-28361 52 20 original original ADJ bracis-28361 52 21 set set NOUN bracis-28361 52 22 . . PUNCT bracis-28361 53 1 the the DET bracis-28361 53 2 quantile quantile ADJ bracis-28361 53 3 sketch sketch PROPN bracis-28361 53 4 array array NOUN bracis-28361 53 5 ( ( PUNCT bracis-28361 53 6 qsa qsa NOUN bracis-28361 53 7 ) ) PUNCT bracis-28361 53 8 achieves achieve VERB bracis-28361 53 9 a a DET bracis-28361 53 10 fixed fix VERB bracis-28361 53 11 - - PUNCT bracis-28361 53 12 size size NOUN bracis-28361 53 13 representation representation NOUN bracis-28361 53 14 of of ADP bracis-28361 53 15 feature feature NOUN bracis-28361 53 16 values value NOUN bracis-28361 53 17 to to PART bracis-28361 53 18 handle handle VERB bracis-28361 53 19 features feature NOUN bracis-28361 53 20 and and CCONJ bracis-28361 53 21 data datum NOUN bracis-28361 53 22 of of ADP bracis-28361 53 23 different different ADJ bracis-28361 53 24 lengths length NOUN bracis-28361 53 25 . . PUNCT bracis-28361 54 1 the the DET bracis-28361 54 2 qsa qsa NOUN bracis-28361 54 3 uses use VERB bracis-28361 54 4 quantile quantile ADJ bracis-28361 54 5 data datum NOUN bracis-28361 54 6 sketch sketch NOUN bracis-28361 54 7 to to PART bracis-28361 54 8 represent represent VERB bracis-28361 54 9 feature feature NOUN bracis-28361 54 10 values value NOUN bracis-28361 54 11 associated associate VERB bracis-28361 54 12 with with ADP bracis-28361 54 13 a a DET bracis-28361 54 14 class class NOUN bracis-28361 54 15 label label NOUN bracis-28361 54 16 . . PUNCT bracis-28361 55 1 the the DET bracis-28361 55 2 authors author NOUN bracis-28361 55 3 of of ADP bracis-28361 55 4 [ [ X bracis-28361 55 5 11 11 NUM bracis-28361 55 6 ] ] PUNCT bracis-28361 55 7 have have AUX bracis-28361 55 8 proposed propose VERB bracis-28361 55 9 an an DET bracis-28361 55 10 rnn rnn NOUN bracis-28361 55 11 - - PUNCT bracis-28361 55 12 based base VERB bracis-28361 55 13 approach approach NOUN bracis-28361 55 14 to to PART bracis-28361 55 15 address address VERB bracis-28361 55 16 the the DET bracis-28361 55 17 feature feature NOUN bracis-28361 55 18 explosion explosion NOUN bracis-28361 55 19 problem problem NOUN bracis-28361 55 20 in in ADP bracis-28361 55 21 feature feature NOUN bracis-28361 55 22 engineering engineering NOUN bracis-28361 55 23 and and CCONJ bracis-28361 55 24 support support VERB bracis-28361 55 25 higher high ADJ bracis-28361 55 26 - - PUNCT bracis-28361 55 27 order order NOUN bracis-28361 55 28 transformations transformation NOUN bracis-28361 55 29 . . PUNCT bracis-28361 56 1 their their PRON bracis-28361 56 2 architecture architecture NOUN bracis-28361 56 3 uses use VERB bracis-28361 56 4 an an DET bracis-28361 56 5 rnn rnn NOUN bracis-28361 56 6 to to PART bracis-28361 56 7 generate generate VERB bracis-28361 56 8 transformation transformation NOUN bracis-28361 56 9 rules rule NOUN bracis-28361 56 10 with with ADP bracis-28361 56 11 a a DET bracis-28361 56 12 maximum maximum ADJ bracis-28361 56 13 order order NOUN bracis-28361 56 14 for for ADP bracis-28361 56 15 each each DET bracis-28361 56 16 raw raw ADJ bracis-28361 56 17 feature feature NOUN bracis-28361 56 18 within within ADP bracis-28361 56 19 a a DET bracis-28361 56 20 fixed fix VERB bracis-28361 56 21 time time NOUN bracis-28361 56 22 limit limit NOUN bracis-28361 56 23 . . PUNCT bracis-28361 57 1 for for ADP bracis-28361 57 2 datasets dataset NOUN bracis-28361 57 3 with with ADP bracis-28361 57 4 multiple multiple ADJ bracis-28361 57 5 raw raw ADJ bracis-28361 57 6 features feature NOUN bracis-28361 57 7 , , PUNCT bracis-28361 57 8 the the DET bracis-28361 57 9 authors author NOUN bracis-28361 57 10 use use VERB bracis-28361 57 11 multiple multiple ADJ bracis-28361 57 12 rnns rnn NOUN bracis-28361 57 13 as as SCONJ bracis-28361 57 14 controllers controller NOUN bracis-28361 57 15 to to PART bracis-28361 57 16 generate generate VERB bracis-28361 57 17 transformation transformation NOUN bracis-28361 57 18 rules rule NOUN bracis-28361 57 19 for for ADP bracis-28361 57 20 each each DET bracis-28361 57 21 feature feature NOUN bracis-28361 57 22 . . PUNCT bracis-28361 58 1 the the DET bracis-28361 58 2 transformed transform VERB bracis-28361 58 3 features feature NOUN bracis-28361 58 4 are be AUX bracis-28361 58 5 evaluated evaluate VERB bracis-28361 58 6 using use VERB bracis-28361 58 7 a a DET bracis-28361 58 8 machine machine NOUN bracis-28361 58 9 learning learn VERB bracis-28361 58 10 algorithm algorithm NOUN bracis-28361 58 11 and and CCONJ bracis-28361 58 12 the the DET bracis-28361 58 13 controller controller NOUN bracis-28361 58 14 is be AUX bracis-28361 58 15 trained train VERB bracis-28361 58 16 using use VERB bracis-28361 58 17 policy policy NOUN bracis-28361 58 18 gradients gradient NOUN bracis-28361 58 19 . . PUNCT bracis-28361 59 1 the the DET bracis-28361 59 2 model model NOUN bracis-28361 59 3 includes include VERB bracis-28361 59 4 two two NUM bracis-28361 59 5 special special ADJ bracis-28361 59 6 unary unary ADJ bracis-28361 59 7 transformations transformation NOUN bracis-28361 59 8 : : PUNCT bracis-28361 59 9 “ " PUNCT bracis-28361 59 10 delete delete NOUN bracis-28361 59 11 ” " PUNCT bracis-28361 59 12 and and CCONJ bracis-28361 59 13 “ " PUNCT bracis-28361 59 14 terminate terminate NOUN bracis-28361 59 15 ” " PUNCT bracis-28361 59 16 , , PUNCT bracis-28361 59 17 which which PRON bracis-28361 59 18 remove remove VERB bracis-28361 59 19 a a DET bracis-28361 59 20 feature feature NOUN bracis-28361 59 21 and and CCONJ bracis-28361 59 22 terminate terminate VERB bracis-28361 59 23 the the DET bracis-28361 59 24 current current ADJ bracis-28361 59 25 transformation transformation NOUN bracis-28361 59 26 , , PUNCT bracis-28361 59 27 respectively respectively ADV bracis-28361 59 28 , , PUNCT bracis-28361 59 29 to to PART bracis-28361 59 30 determine determine VERB bracis-28361 59 31 the the DET bracis-28361 59 32 most most ADV bracis-28361 59 33 appropriate appropriate ADJ bracis-28361 59 34 transformation transformation NOUN bracis-28361 59 35 order order NOUN bracis-28361 59 36 . . PUNCT bracis-28361 60 1 in in ADP bracis-28361 60 2 [ [ X bracis-28361 60 3 5 5 X bracis-28361 60 4 ] ] PUNCT bracis-28361 60 5 they they PRON bracis-28361 60 6 propose propose VERB bracis-28361 60 7 a a DET bracis-28361 60 8 heuristic heuristic ADJ bracis-28361 60 9 model model NOUN bracis-28361 60 10 for for ADP bracis-28361 60 11 automating automate VERB bracis-28361 60 12 feature feature NOUN bracis-28361 60 13 engineering engineering NOUN bracis-28361 60 14 in in ADP bracis-28361 60 15 supervised supervised ADJ bracis-28361 60 16 learning learning NOUN bracis-28361 60 17 problems problem NOUN bracis-28361 60 18 . . PUNCT bracis-28361 61 1 their their PRON bracis-28361 61 2 model model NOUN bracis-28361 61 3 is be AUX bracis-28361 61 4 based base VERB bracis-28361 61 5 on on ADP bracis-28361 61 6 a a DET bracis-28361 61 7 tree tree NOUN bracis-28361 61 8 structure structure NOUN bracis-28361 61 9 , , PUNCT bracis-28361 61 10 where where SCONJ bracis-28361 61 11 the the DET bracis-28361 61 12 raw raw ADJ bracis-28361 61 13 dataset dataset NOUN bracis-28361 61 14 is be AUX bracis-28361 61 15 the the DET bracis-28361 61 16 root root NOUN bracis-28361 61 17 , , PUNCT bracis-28361 61 18 each each DET bracis-28361 61 19 node node NOUN bracis-28361 61 20 is be AUX bracis-28361 61 21 a a DET bracis-28361 61 22 transformed transform VERB bracis-28361 61 23 dataset dataset NOUN bracis-28361 61 24 , , PUNCT bracis-28361 61 25 and and CCONJ bracis-28361 61 26 the the DET bracis-28361 61 27 edges edge NOUN bracis-28361 61 28 represent represent VERB bracis-28361 61 29 the the DET bracis-28361 61 30 transformation transformation NOUN bracis-28361 61 31 functions function NOUN bracis-28361 61 32 . . PUNCT bracis-28361 62 1 the the DET bracis-28361 62 2 goal goal NOUN bracis-28361 62 3 is be AUX bracis-28361 62 4 to to PART bracis-28361 62 5 find find VERB bracis-28361 62 6 the the DET bracis-28361 62 7 node node NOUN bracis-28361 62 8 with with ADP bracis-28361 62 9 the the DET bracis-28361 62 10 highest high ADJ bracis-28361 62 11 score score NOUN bracis-28361 62 12 , , PUNCT bracis-28361 62 13 reducing reduce VERB bracis-28361 62 14 the the DET bracis-28361 62 15 feature feature NOUN bracis-28361 62 16 construction construction NOUN bracis-28361 62 17 problem problem NOUN bracis-28361 62 18 to to ADP bracis-28361 62 19 a a DET bracis-28361 62 20 search search NOUN bracis-28361 62 21 problem problem NOUN bracis-28361 62 22 . . PUNCT bracis-28361 63 1 the the DET bracis-28361 63 2 authors author NOUN bracis-28361 63 3 present present VERB bracis-28361 63 4 three three NUM bracis-28361 63 5 exploration exploration NOUN bracis-28361 63 6 strategies strategy NOUN bracis-28361 63 7 to to PART bracis-28361 63 8 traverse traverse VERB bracis-28361 63 9 the the DET bracis-28361 63 10 tree tree NOUN bracis-28361 63 11 . . PUNCT bracis-28361 64 1 the the DET bracis-28361 64 2 first first ADJ bracis-28361 64 3 is be AUX bracis-28361 64 4 “ " PUNCT bracis-28361 64 5 depth depth NOUN bracis-28361 64 6 - - PUNCT bracis-28361 64 7 first first ADJ bracis-28361 64 8 traversal traversal NOUN bracis-28361 64 9 ” " PUNCT bracis-28361 64 10 , , PUNCT bracis-28361 64 11 in in ADP bracis-28361 64 12 which which PRON bracis-28361 64 13 a a DET bracis-28361 64 14 random random ADJ bracis-28361 64 15 transformation transformation NOUN bracis-28361 64 16 is be AUX bracis-28361 64 17 applied apply VERB bracis-28361 64 18 to to ADP bracis-28361 64 19 the the DET bracis-28361 64 20 root root NOUN bracis-28361 64 21 and and CCONJ bracis-28361 64 22 the the DET bracis-28361 64 23 algorithm algorithm NOUN bracis-28361 64 24 then then ADV bracis-28361 64 25 explores explore VERB bracis-28361 64 26 a a DET bracis-28361 64 27 branch branch NOUN bracis-28361 64 28 until until SCONJ bracis-28361 64 29 there there PRON bracis-28361 64 30 is be VERB bracis-28361 64 31 no no DET bracis-28361 64 32 further further ADJ bracis-28361 64 33 improvement improvement NOUN bracis-28361 64 34 . . PUNCT bracis-28361 65 1 then then ADV bracis-28361 65 2 it it PRON bracis-28361 65 3 chooses choose VERB bracis-28361 65 4 another another DET bracis-28361 65 5 node node NOUN bracis-28361 65 6 with with ADP bracis-28361 65 7 the the DET bracis-28361 65 8 highest high ADJ bracis-28361 65 9 score score NOUN bracis-28361 65 10 and and CCONJ bracis-28361 65 11 starts start VERB bracis-28361 65 12 the the DET bracis-28361 65 13 process process NOUN bracis-28361 65 14 again again ADV bracis-28361 65 15 . . PUNCT bracis-28361 66 1 the the DET bracis-28361 66 2 second second ADJ bracis-28361 66 3 is be AUX bracis-28361 66 4 the the DET bracis-28361 66 5 “ " PUNCT bracis-28361 66 6 global global ADJ bracis-28361 66 7 traversal traversal NOUN bracis-28361 66 8 ” " PUNCT bracis-28361 66 9 , , PUNCT bracis-28361 66 10 where where SCONJ bracis-28361 66 11 a a DET bracis-28361 66 12 global global ADJ bracis-28361 66 13 search search NOUN bracis-28361 66 14 is be AUX bracis-28361 66 15 performed perform VERB bracis-28361 66 16 to to PART bracis-28361 66 17 find find VERB bracis-28361 66 18 the the DET bracis-28361 66 19 most most ADV bracis-28361 66 20 promising promising ADJ bracis-28361 66 21 node node NOUN bracis-28361 66 22 out out ADP bracis-28361 66 23 of of ADP bracis-28361 66 24 all all DET bracis-28361 66 25 the the DET bracis-28361 66 26 nodes node NOUN bracis-28361 66 27 explored explore VERB bracis-28361 66 28 so so ADV bracis-28361 66 29 far far ADV bracis-28361 66 30 . . PUNCT bracis-28361 67 1 the the DET bracis-28361 67 2 third third NOUN bracis-28361 67 3 is be AUX bracis-28361 67 4 “ " PUNCT bracis-28361 67 5 balanced balanced ADJ bracis-28361 67 6 traversal traversal NOUN bracis-28361 67 7 ” " PUNCT bracis-28361 67 8 , , PUNCT bracis-28361 67 9 in in ADP bracis-28361 67 10 which which PRON bracis-28361 67 11 the the DET bracis-28361 67 12 algorithm algorithm NOUN bracis-28361 67 13 chooses choose VERB bracis-28361 67 14 either either CCONJ bracis-28361 67 15 an an DET bracis-28361 67 16 exploration exploration NOUN bracis-28361 67 17 or or CCONJ bracis-28361 67 18 exploitation exploitation NOUN bracis-28361 67 19 strategy strategy NOUN bracis-28361 67 20 at at ADP bracis-28361 67 21 each each DET bracis-28361 67 22 step step NOUN bracis-28361 67 23 based base VERB bracis-28361 67 24 on on ADP bracis-28361 67 25 a a DET bracis-28361 67 26 time time NOUN bracis-28361 67 27 or or CCONJ bracis-28361 67 28 node node ADJ bracis-28361 67 29 budget budget NOUN bracis-28361 67 30 . . PUNCT bracis-28361 68 1 to to PART bracis-28361 68 2 handle handle VERB bracis-28361 68 3 the the DET bracis-28361 68 4 explosive explosive ADJ bracis-28361 68 5 growth growth NOUN bracis-28361 68 6 of of ADP bracis-28361 68 7 columns column NOUN bracis-28361 68 8 , , PUNCT bracis-28361 68 9 feature feature NOUN bracis-28361 68 10 selection selection NOUN bracis-28361 68 11 is be AUX bracis-28361 68 12 required require VERB bracis-28361 68 13 as as SCONJ bracis-28361 68 14 they they PRON bracis-28361 68 15 grow grow VERB bracis-28361 68 16 . . PUNCT bracis-28361 69 1 cognito cognito PROPN bracis-28361 69 2 allows allow VERB bracis-28361 69 3 the the DET bracis-28361 69 4 selection selection NOUN bracis-28361 69 5 of of ADP bracis-28361 69 6 features feature NOUN bracis-28361 69 7 after after ADP bracis-28361 69 8 each each DET bracis-28361 69 9 transformation transformation NOUN bracis-28361 69 10 to to PART bracis-28361 69 11 clean clean VERB bracis-28361 69 12 up up ADP bracis-28361 69 13 the the DET bracis-28361 69 14 dataset dataset NOUN bracis-28361 69 15 and and CCONJ bracis-28361 69 16 ensure ensure VERB bracis-28361 69 17 a a DET bracis-28361 69 18 manageable manageable ADJ bracis-28361 69 19 size size NOUN bracis-28361 69 20 . . PUNCT bracis-28361 70 1 in in ADP bracis-28361 70 2 addition addition NOUN bracis-28361 70 3 , , PUNCT bracis-28361 70 4 at at ADP bracis-28361 70 5 the the DET bracis-28361 70 6 end end NOUN bracis-28361 70 7 of of ADP bracis-28361 70 8 the the DET bracis-28361 70 9 model model NOUN bracis-28361 70 10 execution execution NOUN bracis-28361 70 11 , , PUNCT bracis-28361 70 12 the the DET bracis-28361 70 13 algorithm algorithm NOUN bracis-28361 70 14 performs perform VERB bracis-28361 70 15 another another DET bracis-28361 70 16 feature feature NOUN bracis-28361 70 17 selection selection NOUN bracis-28361 70 18 for for ADP bracis-28361 70 19 all all DET bracis-28361 70 20 columns column NOUN bracis-28361 70 21 in in ADP bracis-28361 70 22 the the DET bracis-28361 70 23 dataset dataset NOUN bracis-28361 70 24 , , PUNCT bracis-28361 70 25 including include VERB bracis-28361 70 26 the the DET bracis-28361 70 27 newly newly ADV bracis-28361 70 28 created create VERB bracis-28361 70 29 columns column NOUN bracis-28361 70 30 . . PUNCT bracis-28361 71 1 autofeat autofeat PROPN bracis-28361 71 2 is be AUX bracis-28361 71 3 a a DET bracis-28361 71 4 method method NOUN bracis-28361 71 5 presented present VERB bracis-28361 71 6 in in ADP bracis-28361 71 7 [ [ X bracis-28361 71 8 10 10 NUM bracis-28361 71 9 ] ] PUNCT bracis-28361 71 10 that that PRON bracis-28361 71 11 generates generate VERB bracis-28361 71 12 and and CCONJ bracis-28361 71 13 selects select VERB bracis-28361 71 14 non non ADJ bracis-28361 71 15 - - ADJ bracis-28361 71 16 linear linear ADJ bracis-28361 71 17 input input NOUN bracis-28361 71 18 features feature NOUN bracis-28361 71 19 from from ADP bracis-28361 71 20 raw raw ADJ bracis-28361 71 21 inputs input NOUN bracis-28361 71 22 . . PUNCT bracis-28361 72 1 the the DET bracis-28361 72 2 method method NOUN bracis-28361 72 3 applies apply VERB bracis-28361 72 4 a a DET bracis-28361 72 5 series series NOUN bracis-28361 72 6 of of ADP bracis-28361 72 7 transformations transformation NOUN bracis-28361 72 8 to to ADP bracis-28361 72 9 the the DET bracis-28361 72 10 raw raw ADJ bracis-28361 72 11 input input NOUN bracis-28361 72 12 and and CCONJ bracis-28361 72 13 combines combine VERB bracis-28361 72 14 pairs pair NOUN bracis-28361 72 15 of of ADP bracis-28361 72 16 features feature NOUN bracis-28361 72 17 in in ADP bracis-28361 72 18 an an DET bracis-28361 72 19 alternating alternate VERB bracis-28361 72 20 multi multi ADJ bracis-28361 72 21 - - ADJ bracis-28361 72 22 step step ADJ bracis-28361 72 23 process process NOUN bracis-28361 72 24 to to PART bracis-28361 72 25 generate generate VERB bracis-28361 72 26 new new ADJ bracis-28361 72 27 features feature NOUN bracis-28361 72 28 . . PUNCT bracis-28361 73 1 however however ADV bracis-28361 73 2 , , PUNCT bracis-28361 73 3 this this PRON bracis-28361 73 4 leads lead VERB bracis-28361 73 5 to to ADP bracis-28361 73 6 an an DET bracis-28361 73 7 exponential exponential ADJ bracis-28361 73 8 increase increase NOUN bracis-28361 73 9 in in ADP bracis-28361 73 10 the the DET bracis-28361 73 11 size size NOUN bracis-28361 73 12 of of ADP bracis-28361 73 13 the the DET bracis-28361 73 14 feature feature NOUN bracis-28361 73 15 space space NOUN bracis-28361 73 16 , , PUNCT bracis-28361 73 17 so so CCONJ bracis-28361 73 18 a a DET bracis-28361 73 19 subsampling subsample VERB bracis-28361 73 20 procedure procedure NOUN bracis-28361 73 21 is be AUX bracis-28361 73 22 performed perform VERB bracis-28361 73 23 before before ADP bracis-28361 73 24 computing compute VERB bracis-28361 73 25 new new ADJ bracis-28361 73 26 features feature NOUN bracis-28361 73 27 . . PUNCT bracis-28361 74 1 the the DET bracis-28361 74 2 authors author NOUN bracis-28361 74 3 have have AUX bracis-28361 74 4 shown show VERB bracis-28361 74 5 that that SCONJ bracis-28361 74 6 two two NUM bracis-28361 74 7 or or CCONJ bracis-28361 74 8 three three NUM bracis-28361 74 9 steps step NOUN bracis-28361 74 10 of of ADP bracis-28361 74 11 the the DET bracis-28361 74 12 feature feature NOUN bracis-28361 74 13 technique technique NOUN bracis-28361 74 14 are be AUX bracis-28361 74 15 usually usually ADV bracis-28361 74 16 sufficient sufficient ADJ bracis-28361 74 17 to to PART bracis-28361 74 18 generate generate VERB bracis-28361 74 19 new new ADJ bracis-28361 74 20 features feature NOUN bracis-28361 74 21 . . PUNCT bracis-28361 75 1 after after ADP bracis-28361 75 2 feature feature NOUN bracis-28361 75 3 engineering engineering NOUN bracis-28361 75 4 , , PUNCT bracis-28361 75 5 the the DET bracis-28361 75 6 new new ADJ bracis-28361 75 7 dataset dataset NOUN bracis-28361 75 8 has have VERB bracis-28361 75 9 a a DET bracis-28361 75 10 higher high ADJ bracis-28361 75 11 number number NOUN bracis-28361 75 12 of of ADP bracis-28361 75 13 features feature NOUN bracis-28361 75 14 than than ADP bracis-28361 75 15 the the DET bracis-28361 75 16 original original ADJ bracis-28361 75 17 dataset dataset NOUN bracis-28361 75 18 . . PUNCT bracis-28361 76 1 to to PART bracis-28361 76 2 reduce reduce VERB bracis-28361 76 3 the the DET bracis-28361 76 4 dimensionality dimensionality NOUN bracis-28361 76 5 , , PUNCT bracis-28361 76 6 the the DET bracis-28361 76 7 authors author NOUN bracis-28361 76 8 developed develop VERB bracis-28361 76 9 a a DET bracis-28361 76 10 feature feature NOUN bracis-28361 76 11 selection selection NOUN bracis-28361 76 12 procedure procedure NOUN bracis-28361 76 13 . . PUNCT bracis-28361 77 1 first first ADV bracis-28361 77 2 , , PUNCT bracis-28361 77 3 they they PRON bracis-28361 77 4 remove remove VERB bracis-28361 77 5 new new ADJ bracis-28361 77 6 features feature NOUN bracis-28361 77 7 that that PRON bracis-28361 77 8 are be AUX bracis-28361 77 9 highly highly ADV bracis-28361 77 10 correlated correlate VERB bracis-28361 77 11 with with ADP bracis-28361 77 12 the the DET bracis-28361 77 13 original original ADJ bracis-28361 77 14 or or CCONJ bracis-28361 77 15 simpler simple ADJ bracis-28361 77 16 features feature NOUN bracis-28361 77 17 . . PUNCT bracis-28361 78 1 then then ADV bracis-28361 78 2 they they PRON bracis-28361 78 3 apply apply VERB bracis-28361 78 4 a a DET bracis-28361 78 5 wrapper wrapper NOUN bracis-28361 78 6 method method NOUN bracis-28361 78 7 with with ADP bracis-28361 78 8 l1 l1 PROPN bracis-28361 78 9 - - PUNCT bracis-28361 78 10 regular regular ADJ bracis-28361 78 11 linear linear NOUN bracis-28361 78 12 models model NOUN bracis-28361 78 13 to to PART bracis-28361 78 14 select select VERB bracis-28361 78 15 the the DET bracis-28361 78 16 most most ADV bracis-28361 78 17 informative informative ADJ bracis-28361 78 18 and and CCONJ bracis-28361 78 19 non non ADJ bracis-28361 78 20 - - ADJ bracis-28361 78 21 redundant redundant ADJ bracis-28361 78 22 features feature NOUN bracis-28361 78 23 from from ADP bracis-28361 78 24 the the DET bracis-28361 78 25 dataset dataset NOUN bracis-28361 78 26 . . PUNCT bracis-28361 79 1 in in ADP bracis-28361 79 2 the the DET bracis-28361 79 3 end end NOUN bracis-28361 79 4 , , PUNCT bracis-28361 79 5 only only ADV bracis-28361 79 6 a a DET bracis-28361 79 7 few few ADJ bracis-28361 79 8 dozen dozen NOUN bracis-28361 79 9 features feature NOUN bracis-28361 79 10 are be AUX bracis-28361 79 11 retained retain VERB bracis-28361 79 12 and and CCONJ bracis-28361 79 13 used use VERB bracis-28361 79 14 after after ADP bracis-28361 79 15 the the DET bracis-28361 79 16 feature feature NOUN bracis-28361 79 17 creation creation NOUN bracis-28361 79 18 and and CCONJ bracis-28361 79 19 selection selection NOUN bracis-28361 79 20 process process NOUN bracis-28361 79 21 . . PUNCT bracis-28361 80 1 in in ADP bracis-28361 80 2 [ [ X bracis-28361 80 3 17 17 NUM bracis-28361 80 4 ] ] PUNCT bracis-28361 80 5 , , PUNCT bracis-28361 80 6 autolearn autolearn PROPN bracis-28361 80 7 is be AUX bracis-28361 80 8 proposed propose VERB bracis-28361 80 9 , , PUNCT bracis-28361 80 10 a a DET bracis-28361 80 11 learning learning NOUN bracis-28361 80 12 model model NOUN bracis-28361 80 13 based base VERB bracis-28361 80 14 on on ADP bracis-28361 80 15 regression regression NOUN bracis-28361 80 16 between between ADP bracis-28361 80 17 pairs pair NOUN bracis-28361 80 18 of of ADP bracis-28361 80 19 features feature NOUN bracis-28361 80 20 and and CCONJ bracis-28361 80 21 aimed aim VERB bracis-28361 80 22 at at ADP bracis-28361 80 23 discovering discover VERB bracis-28361 80 24 patterns pattern NOUN bracis-28361 80 25 and and CCONJ bracis-28361 80 26 their their PRON bracis-28361 80 27 variations variation NOUN bracis-28361 80 28 in in ADP bracis-28361 80 29 the the DET bracis-28361 80 30 data datum NOUN bracis-28361 80 31 . . PUNCT bracis-28361 81 1 the the DET bracis-28361 81 2 method method NOUN bracis-28361 81 3 selects select VERB bracis-28361 81 4 a a DET bracis-28361 81 5 small small ADJ bracis-28361 81 6 number number NOUN bracis-28361 81 7 of of ADP bracis-28361 81 8 new new ADJ bracis-28361 81 9 features feature NOUN bracis-28361 81 10 to to PART bracis-28361 81 11 achieve achieve VERB bracis-28361 81 12 the the DET bracis-28361 81 13 desired desire VERB bracis-28361 81 14 performance performance NOUN bracis-28361 81 15 . . PUNCT bracis-28361 82 1 the the DET bracis-28361 82 2 proposed propose VERB bracis-28361 82 3 method method NOUN bracis-28361 82 4 consists consist VERB bracis-28361 82 5 of of ADP bracis-28361 82 6 four four NUM bracis-28361 82 7 phases phase NOUN bracis-28361 82 8 : : PUNCT bracis-28361 82 9 pre pre ADJ bracis-28361 82 10 - - ADJ bracis-28361 82 11 processing processing ADJ bracis-28361 82 12 to to PART bracis-28361 82 13 reduce reduce VERB bracis-28361 82 14 dimensionality dimensionality NOUN bracis-28361 82 15 , , PUNCT bracis-28361 82 16 where where SCONJ bracis-28361 82 17 the the DET bracis-28361 82 18 authors author NOUN bracis-28361 82 19 perform perform VERB bracis-28361 82 20 feature feature NOUN bracis-28361 82 21 selection selection NOUN bracis-28361 82 22 based base VERB bracis-28361 82 23 on on ADP bracis-28361 82 24 information information NOUN bracis-28361 82 25 gain gain NOUN bracis-28361 82 26 ( ( PUNCT bracis-28361 82 27 ig ig PROPN bracis-28361 82 28 ) ) PUNCT bracis-28361 82 29 ; ; PUNCT bracis-28361 82 30 mining mining NOUN bracis-28361 82 31 of of ADP bracis-28361 82 32 correlated correlate VERB bracis-28361 82 33 features feature NOUN bracis-28361 82 34 to to PART bracis-28361 82 35 define define VERB bracis-28361 82 36 and and CCONJ bracis-28361 82 37 search search VERB bracis-28361 82 38 for for ADP bracis-28361 82 39 pairwise pairwise NOUN bracis-28361 82 40 correlated correlate VERB bracis-28361 82 41 features feature NOUN bracis-28361 82 42 , , PUNCT bracis-28361 82 43 where where SCONJ bracis-28361 82 44 the the DET bracis-28361 82 45 distance distance NOUN bracis-28361 82 46 correlation correlation NOUN bracis-28361 82 47 [ [ X bracis-28361 82 48 8 8 NUM bracis-28361 82 49 ] ] PUNCT bracis-28361 82 50 is be AUX bracis-28361 82 51 calculated calculate VERB bracis-28361 82 52 to to PART bracis-28361 82 53 determine determine VERB bracis-28361 82 54 if if SCONJ bracis-28361 82 55 there there PRON bracis-28361 82 56 is be VERB bracis-28361 82 57 an an DET bracis-28361 82 58 interesting interesting ADJ bracis-28361 82 59 predictive predictive ADJ bracis-28361 82 60 relationship relationship NOUN bracis-28361 82 61 between between ADP bracis-28361 82 62 a a DET bracis-28361 82 63 pair pair NOUN bracis-28361 82 64 of of ADP bracis-28361 82 65 features feature NOUN bracis-28361 82 66 ; ; PUNCT bracis-28361 82 67 feature feature NOUN bracis-28361 82 68 generation generation NOUN bracis-28361 82 69 , , PUNCT bracis-28361 82 70 where where SCONJ bracis-28361 82 71 regularized regularize VERB bracis-28361 82 72 regression regression NOUN bracis-28361 82 73 algorithms algorithm NOUN bracis-28361 82 74 are be AUX bracis-28361 82 75 used use VERB bracis-28361 82 76 to to PART bracis-28361 82 77 search search VERB bracis-28361 82 78 for for ADP bracis-28361 82 79 associations association NOUN bracis-28361 82 80 between between ADP bracis-28361 82 81 features feature NOUN bracis-28361 82 82 and and CCONJ bracis-28361 82 83 generate generate VERB bracis-28361 82 84 new new ADJ bracis-28361 82 85 features feature NOUN bracis-28361 82 86 ; ; PUNCT bracis-28361 82 87 and and CCONJ bracis-28361 82 88 feature feature NOUN bracis-28361 82 89 selection selection NOUN bracis-28361 82 90 , , PUNCT bracis-28361 82 91 where where SCONJ bracis-28361 82 92 features feature VERB bracis-28361 82 93 that that PRON bracis-28361 82 94 do do AUX bracis-28361 82 95 not not PART bracis-28361 82 96 add add VERB bracis-28361 82 97 new new ADJ bracis-28361 82 98 information information NOUN bracis-28361 82 99 to to ADP bracis-28361 82 100 the the DET bracis-28361 82 101 dataset dataset NOUN bracis-28361 82 102 are be AUX bracis-28361 82 103 discarded discard VERB bracis-28361 82 104 . . PUNCT bracis-28361 83 1 the the DET bracis-28361 83 2 authors author NOUN bracis-28361 83 3 of of ADP bracis-28361 83 4 [ [ X bracis-28361 83 5 3 3 NUM bracis-28361 83 6 ] ] PUNCT bracis-28361 83 7 have have AUX bracis-28361 83 8 proposed propose VERB bracis-28361 83 9 a a DET bracis-28361 83 10 novel novel ADJ bracis-28361 83 11 model model NOUN bracis-28361 83 12 that that PRON bracis-28361 83 13 achieves achieve VERB bracis-28361 83 14 both both CCONJ bracis-28361 83 15 memorization memorization NOUN bracis-28361 83 16 and and CCONJ bracis-28361 83 17 generalization generalization NOUN bracis-28361 83 18 by by ADP bracis-28361 83 19 simultaneously simultaneously ADV bracis-28361 83 20 training train VERB bracis-28361 83 21 a a DET bracis-28361 83 22 linear linear ADJ bracis-28361 83 23 model model NOUN bracis-28361 83 24 component component NOUN bracis-28361 83 25 and and CCONJ bracis-28361 83 26 a a DET bracis-28361 83 27 neural neural ADJ bracis-28361 83 28 network network NOUN bracis-28361 83 29 component component NOUN bracis-28361 83 30 . . PUNCT bracis-28361 84 1 the the DET bracis-28361 84 2 model model NOUN bracis-28361 84 3 consists consist VERB bracis-28361 84 4 of of ADP bracis-28361 84 5 two two NUM bracis-28361 84 6 components component NOUN bracis-28361 84 7 : : PUNCT bracis-28361 84 8 the the DET bracis-28361 84 9 wide wide ADJ bracis-28361 84 10 component component NOUN bracis-28361 84 11 , , PUNCT bracis-28361 84 12 which which PRON bracis-28361 84 13 is be AUX bracis-28361 84 14 a a DET bracis-28361 84 15 generalized generalized ADJ bracis-28361 84 16 linear linear ADJ bracis-28361 84 17 model model NOUN bracis-28361 84 18 of of ADP bracis-28361 84 19 the the DET bracis-28361 84 20 form form NOUN bracis-28361 84 21 \(yw^txb\ \(yw^txb\ NOUN bracis-28361 84 22 ) ) PUNCT bracis-28361 84 23 , , PUNCT bracis-28361 84 24 where where SCONJ bracis-28361 84 25 y y PROPN bracis-28361 84 26 denotes denote VERB bracis-28361 84 27 prediction prediction NOUN bracis-28361 84 28 , , PUNCT bracis-28361 84 29 x x PROPN bracis-28361 84 30 denotes denote NOUN bracis-28361 84 31 features feature VERB bracis-28361 84 32 , , PUNCT bracis-28361 84 33 w w PROPN bracis-28361 84 34 denotes denotes PROPN bracis-28361 84 35 model model NOUN bracis-28361 84 36 parameters parameter NOUN bracis-28361 84 37 and and CCONJ bracis-28361 84 38 b b PROPN bracis-28361 84 39 denotes denote NOUN bracis-28361 84 40 bias bias VERB bracis-28361 84 41 . . PUNCT bracis-28361 85 1 the the DET bracis-28361 85 2 input input NOUN bracis-28361 85 3 features feature NOUN bracis-28361 85 4 can can AUX bracis-28361 85 5 be be AUX bracis-28361 85 6 either either CCONJ bracis-28361 85 7 raw raw ADJ bracis-28361 85 8 or or CCONJ bracis-28361 85 9 transformed transform VERB bracis-28361 85 10 , , PUNCT bracis-28361 85 11 the the DET bracis-28361 85 12 most most ADV bracis-28361 85 13 important important ADJ bracis-28361 85 14 transformation transformation NOUN bracis-28361 85 15 being be AUX bracis-28361 85 16 the the DET bracis-28361 85 17 cross cross ADJ bracis-28361 85 18 - - ADJ bracis-28361 85 19 product product ADJ bracis-28361 85 20 transformation transformation NOUN bracis-28361 85 21 ; ; PUNCT bracis-28361 85 22 and and CCONJ bracis-28361 85 23 the the DET bracis-28361 85 24 deep deep ADJ bracis-28361 85 25 component component NOUN bracis-28361 85 26 , , PUNCT bracis-28361 85 27 which which PRON bracis-28361 85 28 is be AUX bracis-28361 85 29 a a DET bracis-28361 85 30 feed feed NOUN bracis-28361 85 31 - - PUNCT bracis-28361 85 32 forward forward ADV bracis-28361 85 33 neural neural ADJ bracis-28361 85 34 network network NOUN bracis-28361 85 35 . . PUNCT bracis-28361 86 1 for for ADP bracis-28361 86 2 categorical categorical ADJ bracis-28361 86 3 features feature NOUN bracis-28361 86 4 , , PUNCT bracis-28361 86 5 an an DET bracis-28361 86 6 embedding embedding NOUN bracis-28361 86 7 is be AUX bracis-28361 86 8 created create VERB bracis-28361 86 9 , , PUNCT bracis-28361 86 10 which which PRON bracis-28361 86 11 is be AUX bracis-28361 86 12 then then ADV bracis-28361 86 13 added add VERB bracis-28361 86 14 to to ADP bracis-28361 86 15 the the DET bracis-28361 86 16 dataset dataset NOUN bracis-28361 86 17 and and CCONJ bracis-28361 86 18 fed feed VERB bracis-28361 86 19 into into ADP bracis-28361 86 20 the the DET bracis-28361 86 21 network network NOUN bracis-28361 86 22 . . PUNCT bracis-28361 87 1 the the DET bracis-28361 87 2 authors author NOUN bracis-28361 87 3 of of ADP bracis-28361 87 4 [ [ X bracis-28361 87 5 2 2 NUM bracis-28361 87 6 ] ] PUNCT bracis-28361 87 7 have have AUX bracis-28361 87 8 proposed propose VERB bracis-28361 87 9 a a DET bracis-28361 87 10 model model NOUN bracis-28361 87 11 for for ADP bracis-28361 87 12 predicting predict VERB bracis-28361 87 13 ctr ctr PROPN bracis-28361 87 14 that that PRON bracis-28361 87 15 can can AUX bracis-28361 87 16 handle handle VERB bracis-28361 87 17 interactions interaction NOUN bracis-28361 87 18 between between ADP bracis-28361 87 19 low low ADJ bracis-28361 87 20 and and CCONJ bracis-28361 87 21 high high ADJ bracis-28361 87 22 - - PUNCT bracis-28361 87 23 order order NOUN bracis-28361 87 24 features feature NOUN bracis-28361 87 25 by by ADP bracis-28361 87 26 introducing introduce VERB bracis-28361 87 27 a a DET bracis-28361 87 28 factorization factorization NOUN bracis-28361 87 29 - - PUNCT bracis-28361 87 30 machine machine NOUN bracis-28361 87 31 ( ( PUNCT bracis-28361 87 32 fm fm NOUN bracis-28361 87 33 ) ) PUNCT bracis-28361 87 34 based base VERB bracis-28361 87 35 neural neural ADJ bracis-28361 87 36 network network NOUN bracis-28361 87 37 . . PUNCT bracis-28361 88 1 the the DET bracis-28361 88 2 model model NOUN bracis-28361 88 3 consists consist VERB bracis-28361 88 4 of of ADP bracis-28361 88 5 two two NUM bracis-28361 88 6 parts part NOUN bracis-28361 88 7 : : PUNCT bracis-28361 88 8 the the DET bracis-28361 88 9 fm fm PROPN bracis-28361 88 10 component component NOUN bracis-28361 88 11 , , PUNCT bracis-28361 88 12 which which PRON bracis-28361 88 13 generates generate VERB bracis-28361 88 14 low low ADJ bracis-28361 88 15 - - PUNCT bracis-28361 88 16 order order NOUN bracis-28361 88 17 features feature NOUN bracis-28361 88 18 and and CCONJ bracis-28361 88 19 can can AUX bracis-28361 88 20 generate generate VERB bracis-28361 88 21 interactions interaction NOUN bracis-28361 88 22 between between ADP bracis-28361 88 23 1st 1st ADJ bracis-28361 88 24 and and CCONJ bracis-28361 88 25 2nd 2nd ADJ bracis-28361 88 26 - - PUNCT bracis-28361 88 27 order order NOUN bracis-28361 88 28 features feature NOUN bracis-28361 88 29 with with ADP bracis-28361 88 30 low low ADJ bracis-28361 88 31 computational computational ADJ bracis-28361 88 32 cost cost NOUN bracis-28361 88 33 , , PUNCT bracis-28361 88 34 and and CCONJ bracis-28361 88 35 the the DET bracis-28361 88 36 deep deep ADJ bracis-28361 88 37 component component NOUN bracis-28361 88 38 , , PUNCT bracis-28361 88 39 a a DET bracis-28361 88 40 feed feed NOUN bracis-28361 88 41 - - PUNCT bracis-28361 88 42 forward forward NOUN bracis-28361 88 43 neural neural ADJ bracis-28361 88 44 network network NOUN bracis-28361 88 45 that that PRON bracis-28361 88 46 learns learn VERB bracis-28361 88 47 interactions interaction NOUN bracis-28361 88 48 between between ADP bracis-28361 88 49 higher high ADJ bracis-28361 88 50 - - PUNCT bracis-28361 88 51 order order NOUN bracis-28361 88 52 features feature NOUN bracis-28361 88 53 . . PUNCT bracis-28361 89 1 the the DET bracis-28361 89 2 input input NOUN bracis-28361 89 3 to to ADP bracis-28361 89 4 the the DET bracis-28361 89 5 network network NOUN bracis-28361 89 6 is be AUX bracis-28361 89 7 a a DET bracis-28361 89 8 high high ADV bracis-28361 89 9 - - PUNCT bracis-28361 89 10 dimensional dimensional ADJ bracis-28361 89 11 vector vector NOUN bracis-28361 89 12 of of ADP bracis-28361 89 13 sparse sparse ADJ bracis-28361 89 14 data datum NOUN bracis-28361 89 15 containing contain VERB bracis-28361 89 16 categorical categorical ADJ bracis-28361 89 17 and and CCONJ bracis-28361 89 18 continuous continuous ADJ bracis-28361 89 19 variables variable NOUN bracis-28361 89 20 as as ADV bracis-28361 89 21 well well ADV bracis-28361 89 22 as as ADP bracis-28361 89 23 grouped group VERB bracis-28361 89 24 fields field NOUN bracis-28361 89 25 . . PUNCT bracis-28361 90 1 the the DET bracis-28361 90 2 fgcnn fgcnn PROPN bracis-28361 90 3 is be AUX bracis-28361 90 4 another another DET bracis-28361 90 5 approach approach NOUN bracis-28361 90 6 proposed propose VERB bracis-28361 90 7 in in ADP bracis-28361 90 8 ctr ctr PROPN bracis-28361 90 9 for for ADP bracis-28361 90 10 prediction prediction NOUN bracis-28361 90 11 [ [ X bracis-28361 90 12 9 9 NUM bracis-28361 90 13 ] ] PUNCT bracis-28361 90 14 . . PUNCT bracis-28361 91 1 this this DET bracis-28361 91 2 model model NOUN bracis-28361 91 3 consists consist VERB bracis-28361 91 4 of of ADP bracis-28361 91 5 two two NUM bracis-28361 91 6 components component NOUN bracis-28361 91 7 , , PUNCT bracis-28361 91 8 namely namely ADV bracis-28361 91 9 the the DET bracis-28361 91 10 feature feature NOUN bracis-28361 91 11 generation generation NOUN bracis-28361 91 12 and and CCONJ bracis-28361 91 13 the the DET bracis-28361 91 14 deep deep ADJ bracis-28361 91 15 classifier classifier NOUN bracis-28361 91 16 . . PUNCT bracis-28361 92 1 the the DET bracis-28361 92 2 feature feature NOUN bracis-28361 92 3 generation generation NOUN bracis-28361 92 4 component component NOUN bracis-28361 92 5 uses use VERB bracis-28361 92 6 the the DET bracis-28361 92 7 mechanisms mechanism NOUN bracis-28361 92 8 inherent inherent ADJ bracis-28361 92 9 in in ADP bracis-28361 92 10 the the DET bracis-28361 92 11 convolutional convolutional ADJ bracis-28361 92 12 neural neural ADJ bracis-28361 92 13 network network NOUN bracis-28361 92 14 ( ( PUNCT bracis-28361 92 15 cnn cnn PROPN bracis-28361 92 16 ) ) PUNCT bracis-28361 92 17 and and CCONJ bracis-28361 92 18 the the DET bracis-28361 92 19 multilayer multilayer ADJ bracis-28361 92 20 perceptron perceptron PROPN bracis-28361 92 21 ( ( PUNCT bracis-28361 92 22 mlp mlp NOUN bracis-28361 92 23 ) ) PUNCT bracis-28361 92 24 to to PART bracis-28361 92 25 identify identify VERB bracis-28361 92 26 relevant relevant ADJ bracis-28361 92 27 local local ADJ bracis-28361 92 28 and and CCONJ bracis-28361 92 29 global global ADJ bracis-28361 92 30 patterns pattern NOUN bracis-28361 92 31 in in ADP bracis-28361 92 32 the the DET bracis-28361 92 33 data datum NOUN bracis-28361 92 34 and and CCONJ bracis-28361 92 35 generate generate VERB bracis-28361 92 36 new new ADJ bracis-28361 92 37 features feature NOUN bracis-28361 92 38 . . PUNCT bracis-28361 93 1 the the DET bracis-28361 93 2 deep deep ADJ bracis-28361 93 3 classifier classifier NOUN bracis-28361 93 4 component component NOUN bracis-28361 93 5 then then ADV bracis-28361 93 6 uses use VERB bracis-28361 93 7 the the DET bracis-28361 93 8 extended extended ADJ bracis-28361 93 9 feature feature NOUN bracis-28361 93 10 space space NOUN bracis-28361 93 11 to to PART bracis-28361 93 12 learn learn VERB bracis-28361 93 13 and and CCONJ bracis-28361 93 14 make make VERB bracis-28361 93 15 predictions prediction NOUN bracis-28361 93 16 . . PUNCT bracis-28361 94 1 our our PRON bracis-28361 94 2 work work NOUN bracis-28361 94 3 introduces introduce VERB bracis-28361 94 4 a a DET bracis-28361 94 5 cnn cnn PROPN bracis-28361 94 6 - - PUNCT bracis-28361 94 7 based base VERB bracis-28361 94 8 model model NOUN bracis-28361 94 9 with with ADP bracis-28361 94 10 correlation correlation NOUN bracis-28361 94 11 - - PUNCT bracis-28361 94 12 pooling pooling NOUN bracis-28361 94 13 for for ADP bracis-28361 94 14 extracting extract VERB bracis-28361 94 15 high high ADJ bracis-28361 94 16 - - PUNCT bracis-28361 94 17 order order NOUN bracis-28361 94 18 features feature NOUN bracis-28361 94 19 and and CCONJ bracis-28361 94 20 improving improve VERB bracis-28361 94 21 model model NOUN bracis-28361 94 22 performance performance NOUN bracis-28361 94 23 . . PUNCT bracis-28361 95 1 unlike unlike ADP bracis-28361 95 2 traditional traditional ADJ bracis-28361 95 3 pooling pooling NOUN bracis-28361 95 4 functions function NOUN bracis-28361 95 5 such such ADJ bracis-28361 95 6 as as ADP bracis-28361 95 7 max max PROPN bracis-28361 95 8 - - PUNCT bracis-28361 95 9 pooling pooling NOUN bracis-28361 95 10 , , PUNCT bracis-28361 95 11 which which PRON bracis-28361 95 12 focus focus VERB bracis-28361 95 13 on on ADP bracis-28361 95 14 selecting select VERB bracis-28361 95 15 the the DET bracis-28361 95 16 maximum maximum ADJ bracis-28361 95 17 value value NOUN bracis-28361 95 18 within within ADP bracis-28361 95 19 a a DET bracis-28361 95 20 pooling pool VERB bracis-28361 95 21 region region NOUN bracis-28361 95 22 , , PUNCT bracis-28361 95 23 correlation correlation NOUN bracis-28361 95 24 - - PUNCT bracis-28361 95 25 pooling pooling NOUN bracis-28361 95 26 considers consider VERB bracis-28361 95 27 the the DET bracis-28361 95 28 linear linear ADJ bracis-28361 95 29 relationships relationship NOUN bracis-28361 95 30 between between ADP bracis-28361 95 31 features feature NOUN bracis-28361 95 32 in in ADP bracis-28361 95 33 the the DET bracis-28361 95 34 data datum NOUN bracis-28361 95 35 matrix matrix NOUN bracis-28361 95 36 . . PUNCT bracis-28361 96 1 it it PRON bracis-28361 96 2 measures measure VERB bracis-28361 96 3 the the DET bracis-28361 96 4 correlation correlation NOUN bracis-28361 96 5 coefficient coefficient NOUN bracis-28361 96 6 between between ADP bracis-28361 96 7 the the DET bracis-28361 96 8 features feature NOUN bracis-28361 96 9 and and CCONJ bracis-28361 96 10 aggregates aggregate VERB bracis-28361 96 11 them they PRON bracis-28361 96 12 based base VERB bracis-28361 96 13 on on ADP bracis-28361 96 14 their their PRON bracis-28361 96 15 correlation correlation NOUN bracis-28361 96 16 values value NOUN bracis-28361 96 17 to to PART bracis-28361 96 18 capture capture VERB bracis-28361 96 19 the the DET bracis-28361 96 20 interdependencies interdependency NOUN bracis-28361 96 21 and and CCONJ bracis-28361 96 22 patterns pattern NOUN bracis-28361 96 23 in in ADP bracis-28361 96 24 the the DET bracis-28361 96 25 data datum NOUN bracis-28361 96 26 . . PUNCT bracis-28361 97 1 by by ADP bracis-28361 97 2 incorporating incorporate VERB bracis-28361 97 3 correlation correlation NOUN bracis-28361 97 4 - - PUNCT bracis-28361 97 5 based base VERB bracis-28361 97 6 pooling pooling NOUN bracis-28361 97 7 into into ADP bracis-28361 97 8 the the DET bracis-28361 97 9 feature feature NOUN bracis-28361 97 10 extraction extraction NOUN bracis-28361 97 11 process process NOUN bracis-28361 97 12 , , PUNCT bracis-28361 97 13 featgenn featgenn NOUN bracis-28361 97 14 can can AUX bracis-28361 97 15 effectively effectively ADV bracis-28361 97 16 extract extract VERB bracis-28361 97 17 high high ADJ bracis-28361 97 18 - - PUNCT bracis-28361 97 19 order order NOUN bracis-28361 97 20 features feature NOUN bracis-28361 97 21 that that PRON bracis-28361 97 22 reflect reflect VERB bracis-28361 97 23 the the DET bracis-28361 97 24 underlying underlie VERB bracis-28361 97 25 relationships relationship NOUN bracis-28361 97 26 among among ADP bracis-28361 97 27 input input NOUN bracis-28361 97 28 variables variable NOUN bracis-28361 97 29 . . PUNCT bracis-28361 98 1 our our PRON bracis-28361 98 2 proposed propose VERB bracis-28361 98 3 method method NOUN bracis-28361 98 4 achieves achieve VERB bracis-28361 98 5 competitive competitive ADJ bracis-28361 98 6 results result NOUN bracis-28361 98 7 on on ADP bracis-28361 98 8 a a DET bracis-28361 98 9 range range NOUN bracis-28361 98 10 of of ADP bracis-28361 98 11 problems problem NOUN bracis-28361 98 12 , , PUNCT bracis-28361 98 13 suggesting suggest VERB bracis-28361 98 14 that that SCONJ bracis-28361 98 15 correlation correlation NOUN bracis-28361 98 16 - - PUNCT bracis-28361 98 17 based base VERB bracis-28361 98 18 pooling pooling NOUN bracis-28361 98 19 is be AUX bracis-28361 98 20 a a DET bracis-28361 98 21 promising promising ADJ bracis-28361 98 22 technique technique NOUN bracis-28361 98 23 for for ADP bracis-28361 98 24 working work VERB bracis-28361 98 25 with with ADP bracis-28361 98 26 tabular tabular PROPN bracis-28361 98 27 data datum NOUN bracis-28361 98 28 in in ADP bracis-28361 98 29 neural neural ADJ bracis-28361 98 30 networks network NOUN bracis-28361 98 31 . . PUNCT bracis-28361 99 1 3 3 NUM bracis-28361 99 2 proposed propose VERB bracis-28361 99 3 approach approach NOUN bracis-28361 99 4 in in ADP bracis-28361 99 5 this this DET bracis-28361 99 6 section section NOUN bracis-28361 99 7 , , PUNCT bracis-28361 99 8 we we PRON bracis-28361 99 9 describe describe VERB bracis-28361 99 10 the the DET bracis-28361 99 11 proposed propose VERB bracis-28361 99 12 feature feature NOUN bracis-28361 99 13 generation generation NOUN bracis-28361 99 14 with with ADP bracis-28361 99 15 evolutionary evolutionary ADJ bracis-28361 99 16 convolutional convolutional ADJ bracis-28361 99 17 neural neural ADJ bracis-28361 99 18 networks network NOUN bracis-28361 99 19 ( ( PUNCT bracis-28361 99 20 featgenn featgenn NOUN bracis-28361 99 21 ) ) PUNCT bracis-28361 99 22 model model NOUN bracis-28361 99 23 in in ADP bracis-28361 99 24 detail detail NOUN bracis-28361 99 25 . . PUNCT bracis-28361 100 1 3.1 3.1 NUM bracis-28361 100 2 problem problem NOUN bracis-28361 100 3 formulation formulation NOUN bracis-28361 100 4 given give VERB bracis-28361 100 5 an an DET bracis-28361 100 6 dataset dataset NOUN bracis-28361 100 7 \(d \(d NOUN bracis-28361 100 8 = = SYM bracis-28361 100 9 \left\langle \left\langle NOUN bracis-28361 100 10 f f NOUN bracis-28361 100 11 , , PUNCT bracis-28361 100 12 tg tg PROPN bracis-28361 100 13 \right\rangle \right\rangle PROPN bracis-28361 100 14 \ \ PROPN bracis-28361 100 15 ) ) PUNCT bracis-28361 100 16 , , PUNCT bracis-28361 100 17 where where SCONJ bracis-28361 100 18 \(f \(f X bracis-28361 100 19 = = SYM bracis-28361 100 20 \left\ \left\ PROPN bracis-28361 100 21 { { PUNCT bracis-28361 100 22 f_1 f_1 PROPN bracis-28361 100 23 , , PUNCT bracis-28361 100 24 f_2 f_2 PROPN bracis-28361 100 25 , , PUNCT bracis-28361 100 26 ... ... PUNCT bracis-28361 100 27 , , PUNCT bracis-28361 100 28 f_n f_n X bracis-28361 100 29 \right\ \right\ ADV bracis-28361 100 30 } } PUNCT bracis-28361 100 31 \ \ NOUN bracis-28361 100 32 ) ) PUNCT bracis-28361 100 33 are be AUX bracis-28361 100 34 the the DET bracis-28361 100 35 raw raw ADJ bracis-28361 100 36 features feature NOUN bracis-28361 100 37 and and CCONJ bracis-28361 100 38 tg tg X bracis-28361 100 39 the the DET bracis-28361 100 40 target target NOUN bracis-28361 100 41 vector vector NOUN bracis-28361 100 42 . . PUNCT bracis-28361 101 1 we we PRON bracis-28361 101 2 denote denote VERB bracis-28361 101 3 as as ADP bracis-28361 101 4 \(l_{e}^{m}(d \(l_{e}^{m}(d NOUN bracis-28361 101 5 , , PUNCT bracis-28361 101 6 tg)\ tg)\ PROPN bracis-28361 101 7 ) ) PUNCT bracis-28361 101 8 the the DET bracis-28361 101 9 performance performance NOUN bracis-28361 101 10 of of ADP bracis-28361 101 11 the the DET bracis-28361 101 12 machine machine NOUN bracis-28361 101 13 learning learning NOUN bracis-28361 101 14 model model NOUN bracis-28361 101 15 m m VERB bracis-28361 101 16 that that PRON bracis-28361 101 17 is be AUX bracis-28361 101 18 learned learn VERB bracis-28361 101 19 from from ADP bracis-28361 101 20 d d PROPN bracis-28361 101 21 and and CCONJ bracis-28361 101 22 measured measure VERB bracis-28361 101 23 by by ADP bracis-28361 101 24 the the DET bracis-28361 101 25 evaluation evaluation NOUN bracis-28361 101 26 metric metric ADJ bracis-28361 101 27 e e NOUN bracis-28361 101 28 ( ( PUNCT bracis-28361 101 29 e.g. e.g. ADV bracis-28361 101 30 accuracy accuracy NOUN bracis-28361 101 31 ) ) PUNCT bracis-28361 101 32 . . PUNCT bracis-28361 102 1 in in ADP bracis-28361 102 2 addition addition NOUN bracis-28361 102 3 , , PUNCT bracis-28361 102 4 we we PRON bracis-28361 102 5 transform transform VERB bracis-28361 102 6 a a DET bracis-28361 102 7 raw raw ADJ bracis-28361 102 8 set set NOUN bracis-28361 102 9 of of ADP bracis-28361 102 10 features feature NOUN bracis-28361 102 11 d d X bracis-28361 102 12 into into ADP bracis-28361 102 13 \(d_{new}\ \(d_{new}\ PROPN bracis-28361 102 14 ) ) PUNCT bracis-28361 102 15 by by ADP bracis-28361 102 16 applying apply VERB bracis-28361 102 17 a a DET bracis-28361 102 18 set set NOUN bracis-28361 102 19 of of ADP bracis-28361 102 20 transformation transformation NOUN bracis-28361 102 21 functions function NOUN bracis-28361 102 22 \(t \(t NOUN bracis-28361 103 1 = = PUNCT bracis-28361 103 2 \left\ \left\ PROPN bracis-28361 103 3 { { PUNCT bracis-28361 103 4 t_1 t_1 PROPN bracis-28361 103 5 , , PUNCT bracis-28361 103 6 t_2 t_2 PROPN bracis-28361 103 7 , , PUNCT bracis-28361 103 8 ... ... PUNCT bracis-28361 103 9 , , PUNCT bracis-28361 103 10 t_n t_n PUNCT bracis-28361 103 11 \right\ \right\ ADJ bracis-28361 103 12 } } PUNCT bracis-28361 103 13 \ \ NOUN bracis-28361 103 14 ) ) PUNCT bracis-28361 103 15 . . PUNCT bracis-28361 104 1 formally formally ADV bracis-28361 104 2 , , PUNCT bracis-28361 104 3 the the DET bracis-28361 104 4 goal goal NOUN bracis-28361 104 5 of of ADP bracis-28361 104 6 the the DET bracis-28361 104 7 autofe autofe NOUN bracis-28361 104 8 is be AUX bracis-28361 104 9 to to PART bracis-28361 104 10 search search VERB bracis-28361 104 11 the the DET bracis-28361 104 12 optimal optimal ADJ bracis-28361 104 13 transformed transform VERB bracis-28361 104 14 feature feature NOUN bracis-28361 104 15 set set VERB bracis-28361 104 16 \(d^{*}\ \(d^{*}\ NOUN bracis-28361 104 17 ) ) PUNCT bracis-28361 104 18 where where SCONJ bracis-28361 104 19 \(l_{e}^{m}(d^{*},tg)\ \(l_{e}^{m}(d^{*},tg)\ NUM bracis-28361 104 20 ) ) PUNCT bracis-28361 104 21 is be AUX bracis-28361 104 22 maximized maximize VERB bracis-28361 104 23 . . PUNCT bracis-28361 105 1 3.2 3.2 NUM bracis-28361 105 2 featgenn featgenn PROPN bracis-28361 105 3 model model NOUN bracis-28361 105 4 fig fig NOUN bracis-28361 105 5 . . PUNCT bracis-28361 106 1 1 1 X bracis-28361 106 2 . . PUNCT bracis-28361 106 3 the the DET bracis-28361 106 4 featgenn featgenn NOUN bracis-28361 106 5 process process NOUN bracis-28361 106 6 . . PUNCT bracis-28361 107 1 full full ADJ bracis-28361 107 2 size size NOUN bracis-28361 107 3 image image NOUN bracis-28361 107 4 in in ADP bracis-28361 107 5 this this DET bracis-28361 107 6 study study NOUN bracis-28361 107 7 , , PUNCT bracis-28361 107 8 we we PRON bracis-28361 107 9 use use VERB bracis-28361 107 10 a a DET bracis-28361 107 11 convolutional convolutional ADJ bracis-28361 107 12 neural neural ADJ bracis-28361 107 13 network network NOUN bracis-28361 107 14 to to PART bracis-28361 107 15 extract extract VERB bracis-28361 107 16 features feature NOUN bracis-28361 107 17 that that PRON bracis-28361 107 18 can can AUX bracis-28361 107 19 improve improve VERB bracis-28361 107 20 the the DET bracis-28361 107 21 performance performance NOUN bracis-28361 107 22 of of ADP bracis-28361 107 23 a a DET bracis-28361 107 24 machine machine NOUN bracis-28361 107 25 learning learning NOUN bracis-28361 107 26 model model NOUN bracis-28361 107 27 ( ( PUNCT bracis-28361 107 28 i.e. i.e. X bracis-28361 107 29 , , PUNCT bracis-28361 107 30 random random ADJ bracis-28361 107 31 forest forest NOUN bracis-28361 107 32 ) ) PUNCT bracis-28361 107 33 . . PUNCT bracis-28361 108 1 as as SCONJ bracis-28361 108 2 explained explain VERB bracis-28361 108 3 earlier early ADV bracis-28361 108 4 , , PUNCT bracis-28361 108 5 using use VERB bracis-28361 108 6 an an DET bracis-28361 108 7 mlp mlp NOUN bracis-28361 108 8 alone alone ADJ bracis-28361 108 9 to to PART bracis-28361 108 10 generate generate VERB bracis-28361 108 11 new new ADJ bracis-28361 108 12 features feature NOUN bracis-28361 108 13 would would AUX bracis-28361 108 14 not not PART bracis-28361 108 15 result result VERB bracis-28361 108 16 in in ADP bracis-28361 108 17 a a DET bracis-28361 108 18 good good ADJ bracis-28361 108 19 set set NOUN bracis-28361 108 20 of of ADP bracis-28361 108 21 new new ADJ bracis-28361 108 22 features feature NOUN bracis-28361 108 23 . . PUNCT bracis-28361 109 1 the the DET bracis-28361 109 2 reason reason NOUN bracis-28361 109 3 for for ADP bracis-28361 109 4 this this PRON bracis-28361 109 5 is be AUX bracis-28361 109 6 the the DET bracis-28361 109 7 relationship relationship NOUN bracis-28361 109 8 between between ADP bracis-28361 109 9 the the DET bracis-28361 109 10 number number NOUN bracis-28361 109 11 of of ADP bracis-28361 109 12 informative informative ADJ bracis-28361 109 13 interactions interaction NOUN bracis-28361 109 14 between between ADP bracis-28361 109 15 features feature NOUN bracis-28361 109 16 and and CCONJ bracis-28361 109 17 the the DET bracis-28361 109 18 total total ADJ bracis-28361 109 19 number number NOUN bracis-28361 109 20 of of ADP bracis-28361 109 21 features feature NOUN bracis-28361 109 22 in in ADP bracis-28361 109 23 the the DET bracis-28361 109 24 feature feature NOUN bracis-28361 109 25 space space NOUN bracis-28361 109 26 . . PUNCT bracis-28361 110 1 also also ADV bracis-28361 110 2 , , PUNCT bracis-28361 110 3 using use VERB bracis-28361 110 4 a a DET bracis-28361 110 5 cnn cnn NOUN bracis-28361 110 6 alone alone ADV bracis-28361 110 7 might might AUX bracis-28361 110 8 not not PART bracis-28361 110 9 lead lead VERB bracis-28361 110 10 to to ADP bracis-28361 110 11 good good ADJ bracis-28361 110 12 performance performance NOUN bracis-28361 110 13 because because SCONJ bracis-28361 110 14 a a DET bracis-28361 110 15 cnn cnn NOUN bracis-28361 110 16 only only ADV bracis-28361 110 17 considers consider VERB bracis-28361 110 18 local local ADJ bracis-28361 110 19 interactions interaction NOUN bracis-28361 110 20 and and CCONJ bracis-28361 110 21 does do AUX bracis-28361 110 22 not not PART bracis-28361 110 23 consider consider VERB bracis-28361 110 24 many many ADJ bracis-28361 110 25 important important ADJ bracis-28361 110 26 global global ADJ bracis-28361 110 27 interactions interaction NOUN bracis-28361 110 28 between between ADP bracis-28361 110 29 features feature NOUN bracis-28361 110 30 [ [ X bracis-28361 110 31 9 9 NUM bracis-28361 110 32 ] ] PUNCT bracis-28361 110 33 . . PUNCT bracis-28361 111 1 to to PART bracis-28361 111 2 overcome overcome VERB bracis-28361 111 3 this this DET bracis-28361 111 4 problem problem NOUN bracis-28361 111 5 , , PUNCT bracis-28361 111 6 we we PRON bracis-28361 111 7 use use VERB bracis-28361 111 8 an an DET bracis-28361 111 9 architecture architecture NOUN bracis-28361 111 10 that that PRON bracis-28361 111 11 combines combine VERB bracis-28361 111 12 the the DET bracis-28361 111 13 mlp mlp NOUN bracis-28361 111 14 with with ADP bracis-28361 111 15 the the DET bracis-28361 111 16 cnn cnn PROPN bracis-28361 111 17 . . PUNCT bracis-28361 112 1 the the DET bracis-28361 112 2 featgenn featgenn PROPN bracis-28361 112 3 model model NOUN bracis-28361 112 4 includes include VERB bracis-28361 112 5 two two NUM bracis-28361 112 6 main main ADJ bracis-28361 112 7 blocks block NOUN bracis-28361 112 8 , , PUNCT bracis-28361 112 9 namely namely ADV bracis-28361 112 10 local local ADJ bracis-28361 112 11 feature feature NOUN bracis-28361 112 12 extraction extraction NOUN bracis-28361 112 13 and and CCONJ bracis-28361 112 14 global global ADJ bracis-28361 112 15 feature feature NOUN bracis-28361 112 16 generation generation NOUN bracis-28361 112 17 ( ( PUNCT bracis-28361 112 18 fig fig NOUN bracis-28361 112 19 . . PUNCT bracis-28361 112 20     SPACE bracis-28361 112 21 1 1 NUM bracis-28361 112 22 ) ) PUNCT bracis-28361 112 23 . . PUNCT bracis-28361 113 1 the the DET bracis-28361 113 2 first first ADJ bracis-28361 113 3 block block NOUN bracis-28361 113 4 attempts attempt VERB bracis-28361 113 5 to to PART bracis-28361 113 6 identify identify VERB bracis-28361 113 7 the the DET bracis-28361 113 8 most most ADV bracis-28361 113 9 informative informative ADJ bracis-28361 113 10 interactions interaction NOUN bracis-28361 113 11 between between ADP bracis-28361 113 12 local local ADJ bracis-28361 113 13 features feature NOUN bracis-28361 113 14 , , PUNCT bracis-28361 113 15 while while SCONJ bracis-28361 113 16 the the DET bracis-28361 113 17 second second ADJ bracis-28361 113 18 block block NOUN bracis-28361 113 19 generates generate VERB bracis-28361 113 20 new new ADJ bracis-28361 113 21 features feature NOUN bracis-28361 113 22 from from ADP bracis-28361 113 23 the the DET bracis-28361 113 24 features feature NOUN bracis-28361 113 25 extracted extract VERB bracis-28361 113 26 by by ADP bracis-28361 113 27 the the DET bracis-28361 113 28 local local ADJ bracis-28361 113 29 feature feature NOUN bracis-28361 113 30 extraction extraction NOUN bracis-28361 113 31 block block NOUN bracis-28361 113 32 and and CCONJ bracis-28361 113 33 combines combine VERB bracis-28361 113 34 them they PRON bracis-28361 113 35 globally globally ADV bracis-28361 113 36 . . PUNCT bracis-28361 114 1 the the DET bracis-28361 114 2 local local ADJ bracis-28361 114 3 feature feature NOUN bracis-28361 114 4 extraction extraction NOUN bracis-28361 114 5 block block NOUN bracis-28361 114 6 includes include VERB bracis-28361 114 7 two two NUM bracis-28361 114 8 main main ADJ bracis-28361 114 9 operations operation NOUN bracis-28361 114 10 , , PUNCT bracis-28361 114 11 namely namely ADV bracis-28361 114 12 pooling pool VERB bracis-28361 114 13 and and CCONJ bracis-28361 114 14 convolution convolution NOUN bracis-28361 114 15 . . PUNCT bracis-28361 115 1 among among ADP bracis-28361 115 2 these these DET bracis-28361 115 3 operations operation NOUN bracis-28361 115 4 , , PUNCT bracis-28361 115 5 the the DET bracis-28361 115 6 pooling pool VERB bracis-28361 115 7 operation operation NOUN bracis-28361 115 8 plays play VERB bracis-28361 115 9 a a DET bracis-28361 115 10 crucial crucial ADJ bracis-28361 115 11 role role NOUN bracis-28361 115 12 in in ADP bracis-28361 115 13 reducing reduce VERB bracis-28361 115 14 dimensionality dimensionality NOUN bracis-28361 115 15 and and CCONJ bracis-28361 115 16 preserving preserve VERB bracis-28361 115 17 the the DET bracis-28361 115 18 most most ADV bracis-28361 115 19 informative informative ADJ bracis-28361 115 20 features feature NOUN bracis-28361 115 21 for for ADP bracis-28361 115 22 subsequent subsequent ADJ bracis-28361 115 23 layers layer NOUN bracis-28361 115 24 . . PUNCT bracis-28361 116 1 in in ADP bracis-28361 116 2 previous previous ADJ bracis-28361 116 3 work work NOUN bracis-28361 116 4 on on ADP bracis-28361 116 5 feature feature NOUN bracis-28361 116 6 generation generation NOUN bracis-28361 116 7 for for ADP bracis-28361 116 8 tabular tabular PROPN bracis-28361 116 9 data datum NOUN bracis-28361 116 10 with with ADP bracis-28361 116 11 cnn cnn PROPN bracis-28361 116 12 , , PUNCT bracis-28361 116 13 max max PROPN bracis-28361 116 14 - - PUNCT bracis-28361 116 15 pooling pooling NOUN bracis-28361 116 16 was be AUX bracis-28361 116 17 mainly mainly ADV bracis-28361 116 18 used use VERB bracis-28361 116 19 . . PUNCT bracis-28361 117 1 however however ADV bracis-28361 117 2 , , PUNCT bracis-28361 117 3 we we PRON bracis-28361 117 4 found find VERB bracis-28361 117 5 that that SCONJ bracis-28361 117 6 using use VERB bracis-28361 117 7 max max PROPN bracis-28361 117 8 - - PUNCT bracis-28361 117 9 pooling pooling NOUN bracis-28361 117 10 for for ADP bracis-28361 117 11 tabular tabular NOUN bracis-28361 117 12 data datum NOUN bracis-28361 117 13 may may AUX bracis-28361 117 14 not not PART bracis-28361 117 15 give give VERB bracis-28361 117 16 the the DET bracis-28361 117 17 desired desire VERB bracis-28361 117 18 result result NOUN bracis-28361 117 19 because because SCONJ bracis-28361 117 20 the the DET bracis-28361 117 21 model model NOUN bracis-28361 117 22 may may AUX bracis-28361 117 23 not not PART bracis-28361 117 24 compare compare VERB bracis-28361 117 25 closely closely ADV bracis-28361 117 26 related relate VERB bracis-28361 117 27 features feature NOUN bracis-28361 117 28 , , PUNCT bracis-28361 117 29 thus thus ADV bracis-28361 117 30 affecting affect VERB bracis-28361 117 31 the the DET bracis-28361 117 32 features feature NOUN bracis-28361 117 33 generated generate VERB bracis-28361 117 34 by by ADP bracis-28361 117 35 the the DET bracis-28361 117 36 model model NOUN bracis-28361 117 37 . . PUNCT bracis-28361 118 1 therefore therefore ADV bracis-28361 118 2 , , PUNCT bracis-28361 118 3 we we PRON bracis-28361 118 4 propose propose VERB bracis-28361 118 5 the the DET bracis-28361 118 6 use use NOUN bracis-28361 118 7 of of ADP bracis-28361 118 8 correlation correlation NOUN bracis-28361 118 9 - - PUNCT bracis-28361 118 10 pooling pooling NOUN bracis-28361 118 11 to to PART bracis-28361 118 12 address address VERB bracis-28361 118 13 this this DET bracis-28361 118 14 issue issue NOUN bracis-28361 118 15 . . PUNCT bracis-28361 119 1 in in ADP bracis-28361 119 2 correlation correlation NOUN bracis-28361 119 3 pooling pooling NOUN bracis-28361 119 4 ( ( PUNCT bracis-28361 119 5 fig fig NOUN bracis-28361 119 6 . . PUNCT bracis-28361 119 7 2 2 NUM bracis-28361 119 8 ) ) PUNCT bracis-28361 119 9 , , PUNCT bracis-28361 119 10 the the DET bracis-28361 119 11 variant variant NOUN bracis-28361 119 12 of of ADP bracis-28361 119 13 pooling pool VERB bracis-28361 119 14 used use VERB bracis-28361 119 15 in in ADP bracis-28361 119 16 our our PRON bracis-28361 119 17 local local ADJ bracis-28361 119 18 feature feature NOUN bracis-28361 119 19 extraction extraction NOUN bracis-28361 119 20 block block NOUN bracis-28361 119 21 , , PUNCT bracis-28361 119 22 uses use VERB bracis-28361 119 23 pearson pearson PROPN bracis-28361 119 24 correlation correlation NOUN bracis-28361 119 25 [ [ X bracis-28361 119 26 19 19 NUM bracis-28361 119 27 ] ] PUNCT bracis-28361 119 28 to to ADP bracis-28361 119 29 group group NOUN bracis-28361 119 30 features feature NOUN bracis-28361 119 31 that that PRON bracis-28361 119 32 are be AUX bracis-28361 119 33 highly highly ADV bracis-28361 119 34 correlated correlate VERB bracis-28361 119 35 . . PUNCT bracis-28361 120 1 by by ADP bracis-28361 120 2 grouping group VERB bracis-28361 120 3 these these DET bracis-28361 120 4 features feature NOUN bracis-28361 120 5 , , PUNCT bracis-28361 120 6 correlation correlation NOUN bracis-28361 120 7 - - PUNCT bracis-28361 120 8 pooling pooling NOUN bracis-28361 120 9 can can AUX bracis-28361 120 10 preserve preserve VERB bracis-28361 120 11 the the DET bracis-28361 120 12 relationship relationship NOUN bracis-28361 120 13 between between ADP bracis-28361 120 14 closely closely ADV bracis-28361 120 15 related relate VERB bracis-28361 120 16 features feature NOUN bracis-28361 120 17 and and CCONJ bracis-28361 120 18 thus thus ADV bracis-28361 120 19 improve improve VERB bracis-28361 120 20 the the DET bracis-28361 120 21 quality quality NOUN bracis-28361 120 22 of of ADP bracis-28361 120 23 the the DET bracis-28361 120 24 features feature NOUN bracis-28361 120 25 extracted extract VERB bracis-28361 120 26 by by ADP bracis-28361 120 27 the the DET bracis-28361 120 28 cnn cnn PROPN bracis-28361 120 29 model model NOUN bracis-28361 120 30 . . PUNCT bracis-28361 121 1 this this PRON bracis-28361 121 2 is be AUX bracis-28361 121 3 in in ADP bracis-28361 121 4 contrast contrast NOUN bracis-28361 121 5 to to ADP bracis-28361 121 6 max max PROPN bracis-28361 121 7 - - PUNCT bracis-28361 121 8 pooling pooling NOUN bracis-28361 121 9 , , PUNCT bracis-28361 121 10 which which PRON bracis-28361 121 11 preserves preserve VERB bracis-28361 121 12 only only ADV bracis-28361 121 13 the the DET bracis-28361 121 14 most most ADV bracis-28361 121 15 dominant dominant ADJ bracis-28361 121 16 feature feature NOUN bracis-28361 121 17 in in ADP bracis-28361 121 18 a a DET bracis-28361 121 19 group group NOUN bracis-28361 121 20 and and CCONJ bracis-28361 121 21 may may AUX bracis-28361 121 22 ignore ignore VERB bracis-28361 121 23 other other ADJ bracis-28361 121 24 relevant relevant ADJ bracis-28361 121 25 features feature NOUN bracis-28361 121 26 that that PRON bracis-28361 121 27 are be AUX bracis-28361 121 28 closely closely ADV bracis-28361 121 29 related relate VERB bracis-28361 121 30 . . PUNCT bracis-28361 122 1 therefore therefore ADV bracis-28361 122 2 , , PUNCT bracis-28361 122 3 by by ADP bracis-28361 122 4 incorporating incorporate VERB bracis-28361 122 5 pearson pearson NOUN bracis-28361 122 6 correlation correlation NOUN bracis-28361 122 7 in in ADP bracis-28361 122 8 the the DET bracis-28361 122 9 pooling pooling NOUN bracis-28361 122 10 operation operation NOUN bracis-28361 122 11 , , PUNCT bracis-28361 122 12 correlation correlation NOUN bracis-28361 122 13 - - PUNCT bracis-28361 122 14 pooling pooling NOUN bracis-28361 122 15 can can AUX bracis-28361 122 16 effectively effectively ADV bracis-28361 122 17 circumvent circumvent VERB bracis-28361 122 18 the the DET bracis-28361 122 19 limitation limitation NOUN bracis-28361 122 20 of of ADP bracis-28361 122 21 max max PROPN bracis-28361 122 22 - - PUNCT bracis-28361 122 23 pooling pooling NOUN bracis-28361 122 24 and and CCONJ bracis-28361 122 25 help help VERB bracis-28361 122 26 generate generate VERB bracis-28361 122 27 more more ADV bracis-28361 122 28 informative informative ADJ bracis-28361 122 29 features feature NOUN bracis-28361 122 30 for for ADP bracis-28361 122 31 subsequent subsequent ADJ bracis-28361 122 32 layers layer NOUN bracis-28361 122 33 in in ADP bracis-28361 122 34 the the DET bracis-28361 122 35 cnn cnn PROPN bracis-28361 122 36 model model NOUN bracis-28361 122 37 . . PUNCT bracis-28361 123 1 the the DET bracis-28361 123 2 pearson pearson PROPN bracis-28361 123 3 correlation correlation NOUN bracis-28361 123 4 coefficient coefficient NOUN bracis-28361 123 5 can can AUX bracis-28361 123 6 be be AUX bracis-28361 123 7 formulated formulate VERB bracis-28361 123 8 as as SCONJ bracis-28361 123 9 follows follow VERB bracis-28361 123 10 for for ADP bracis-28361 123 11 our our PRON bracis-28361 123 12 problem problem NOUN bracis-28361 123 13 : : PUNCT bracis-28361 123 14 $ $ SYM bracis-28361 123 15 $ $ SYM bracis-28361 123 16 \begin{aligned \begin{aligne VERB bracis-28361 123 17 } } PUNCT bracis-28361 123 18 r r NOUN bracis-28361 123 19 = = SYM bracis-28361 123 20 \frac{n\sum \frac{n\sum NOUN bracis-28361 123 21 xy xy PROPN bracis-28361 124 1 ( ( PUNCT bracis-28361 124 2 \sum \sum NOUN bracis-28361 124 3 x)(\sum x)(\sum PROPN bracis-28361 124 4 y)}{\sqrt{[n\sum y)}{\sqrt{[n\sum PROPN bracis-28361 125 1 x^{2}-(\sum x^{2}-(\sum NUM bracis-28361 125 2 x)^{2}][n\sum x)^{2}][n\sum NOUN bracis-28361 125 3 y^{2}-(\sum y^{2}-(\sum PROPN bracis-28361 125 4 y)^{2 y)^{2 PROPN bracis-28361 125 5 } } PUNCT bracis-28361 125 6 ] ] PUNCT bracis-28361 125 7 } } PUNCT bracis-28361 125 8 } } PUNCT bracis-28361 125 9 \end{aligned}$$ \end{aligned}$$ X bracis-28361 125 10 ( ( PUNCT bracis-28361 125 11 1 1 NUM bracis-28361 125 12 ) ) PUNCT bracis-28361 125 13 where where SCONJ bracis-28361 125 14 x x PUNCT bracis-28361 125 15 and and CCONJ bracis-28361 125 16 y y PROPN bracis-28361 125 17 represent represent VERB bracis-28361 125 18 the the DET bracis-28361 125 19 values value NOUN bracis-28361 125 20 of of ADP bracis-28361 125 21 the the DET bracis-28361 125 22 features feature NOUN bracis-28361 125 23 x x PUNCT bracis-28361 125 24 and and CCONJ bracis-28361 125 25 y y PROPN bracis-28361 125 26 respectively respectively ADV bracis-28361 125 27 , , PUNCT bracis-28361 125 28 and and CCONJ bracis-28361 125 29 \(x \(x NOUN bracis-28361 125 30 , , PUNCT bracis-28361 125 31 y y PROPN bracis-28361 125 32 \in \in PROPN bracis-28361 125 33 f\ f\ PROPN bracis-28361 125 34 ) ) PUNCT bracis-28361 125 35 , , PUNCT bracis-28361 125 36 where where SCONJ bracis-28361 125 37 f f PROPN bracis-28361 125 38 is be AUX bracis-28361 125 39 the the DET bracis-28361 125 40 set set NOUN bracis-28361 125 41 of of ADP bracis-28361 125 42 all all DET bracis-28361 125 43 features feature NOUN bracis-28361 125 44 . . PUNCT bracis-28361 126 1 the the DET bracis-28361 126 2 variable variable ADJ bracis-28361 126 3 n n NOUN bracis-28361 126 4 denotes denote VERB bracis-28361 126 5 the the DET bracis-28361 126 6 number number NOUN bracis-28361 126 7 of of ADP bracis-28361 126 8 samples sample NOUN bracis-28361 126 9 in in ADP bracis-28361 126 10 the the DET bracis-28361 126 11 dataset dataset ADJ bracis-28361 126 12 d. d. NOUN bracis-28361 126 13 to to PART bracis-28361 126 14 avoid avoid VERB bracis-28361 126 15 having have VERB bracis-28361 126 16 to to PART bracis-28361 126 17 run run VERB bracis-28361 126 18 the the DET bracis-28361 126 19 pearson pearson PROPN bracis-28361 126 20 algorithm algorithm PROPN bracis-28361 126 21 twice twice ADV bracis-28361 126 22 , , PUNCT bracis-28361 126 23 we we PRON bracis-28361 126 24 have have AUX bracis-28361 126 25 introduced introduce VERB bracis-28361 126 26 an an DET bracis-28361 126 27 iterative iterative NOUN bracis-28361 126 28 calculation calculation NOUN bracis-28361 126 29 of of ADP bracis-28361 126 30 the the DET bracis-28361 126 31 pearson pearson PROPN bracis-28361 126 32 coefficient coefficient NOUN bracis-28361 126 33 . . PUNCT bracis-28361 127 1 this this PRON bracis-28361 127 2 means mean VERB bracis-28361 127 3 that that SCONJ bracis-28361 127 4 at at ADP bracis-28361 127 5 the the DET bracis-28361 127 6 current current ADJ bracis-28361 127 7 stage stage NOUN bracis-28361 127 8 of of ADP bracis-28361 127 9 model model NOUN bracis-28361 127 10 development development NOUN bracis-28361 127 11 , , PUNCT bracis-28361 127 12 we we PRON bracis-28361 127 13 compute compute VERB bracis-28361 127 14 the the DET bracis-28361 127 15 pearson pearson PROPN bracis-28361 127 16 coefficient coefficient NOUN bracis-28361 127 17 r r NOUN bracis-28361 127 18 to to PART bracis-28361 127 19 perform perform VERB bracis-28361 127 20 the the DET bracis-28361 127 21 pooling pooling NOUN bracis-28361 127 22 operation operation NOUN bracis-28361 127 23 for for ADP bracis-28361 127 24 the the DET bracis-28361 127 25 subsequent subsequent ADJ bracis-28361 127 26 evolutionary evolutionary ADJ bracis-28361 127 27 generation generation NOUN bracis-28361 127 28 of of ADP bracis-28361 127 29 the the DET bracis-28361 127 30 model model NOUN bracis-28361 127 31 . . PUNCT bracis-28361 128 1 to to PART bracis-28361 128 2 reduce reduce VERB bracis-28361 128 3 the the DET bracis-28361 128 4 computations computation NOUN bracis-28361 128 5 required require VERB bracis-28361 128 6 , , PUNCT bracis-28361 128 7 we we PRON bracis-28361 128 8 also also ADV bracis-28361 128 9 added add VERB bracis-28361 128 10 a a DET bracis-28361 128 11 threshold threshold NOUN bracis-28361 128 12 to to PART bracis-28361 128 13 limit limit VERB bracis-28361 128 14 the the DET bracis-28361 128 15 number number NOUN bracis-28361 128 16 of of ADP bracis-28361 128 17 data datum NOUN bracis-28361 128 18 sent send VERB bracis-28361 128 19 to to ADP bracis-28361 128 20 the the DET bracis-28361 128 21 correlation correlation NOUN bracis-28361 128 22 calculation calculation NOUN bracis-28361 128 23 , , PUNCT bracis-28361 128 24 i.e. i.e. X bracis-28361 128 25 , , PUNCT bracis-28361 128 26 a a DET bracis-28361 128 27 model model NOUN bracis-28361 128 28 can can AUX bracis-28361 128 29 only only ADV bracis-28361 128 30 use use VERB bracis-28361 128 31 70 70 NUM bracis-28361 128 32 % % NOUN bracis-28361 128 33 of of ADP bracis-28361 128 34 the the DET bracis-28361 128 35 data datum NOUN bracis-28361 128 36 to to PART bracis-28361 128 37 calculate calculate VERB bracis-28361 128 38 the the DET bracis-28361 128 39 correlation correlation NOUN bracis-28361 128 40 value value NOUN bracis-28361 128 41 for for ADP bracis-28361 128 42 the the DET bracis-28361 128 43 features feature NOUN bracis-28361 128 44 . . PUNCT bracis-28361 129 1 fig fig NOUN bracis-28361 129 2 . . PUNCT bracis-28361 130 1 2 2 X bracis-28361 130 2 . . X bracis-28361 130 3 correlation correlation NOUN bracis-28361 130 4 - - PUNCT bracis-28361 130 5 pooling pool VERB bracis-28361 130 6 process process NOUN bracis-28361 130 7 . . PUNCT bracis-28361 131 1 full full ADJ bracis-28361 131 2 size size NOUN bracis-28361 131 3 image image NOUN bracis-28361 131 4 while while SCONJ bracis-28361 131 5 the the DET bracis-28361 131 6 pearson pearson NOUN bracis-28361 131 7 correlation correlation NOUN bracis-28361 131 8 is be AUX bracis-28361 131 9 a a DET bracis-28361 131 10 statistical statistical ADJ bracis-28361 131 11 measure measure NOUN bracis-28361 131 12 that that PRON bracis-28361 131 13 describes describe VERB bracis-28361 131 14 the the DET bracis-28361 131 15 linear linear ADJ bracis-28361 131 16 relationship relationship NOUN bracis-28361 131 17 between between ADP bracis-28361 131 18 two two NUM bracis-28361 131 19 variables variable NOUN bracis-28361 131 20 , , PUNCT bracis-28361 131 21 it it PRON bracis-28361 131 22 is be AUX bracis-28361 131 23 not not PART bracis-28361 131 24 suitable suitable ADJ bracis-28361 131 25 for for ADP bracis-28361 131 26 analyzing analyze VERB bracis-28361 131 27 relationships relationship NOUN bracis-28361 131 28 between between ADP bracis-28361 131 29 more more ADJ bracis-28361 131 30 than than ADP bracis-28361 131 31 two two NUM bracis-28361 131 32 characteristics characteristic NOUN bracis-28361 131 33 . . PUNCT bracis-28361 132 1 to to PART bracis-28361 132 2 overcome overcome VERB bracis-28361 132 3 this this DET bracis-28361 132 4 limitation limitation NOUN bracis-28361 132 5 , , PUNCT bracis-28361 132 6 we we PRON bracis-28361 132 7 use use VERB bracis-28361 132 8 the the DET bracis-28361 132 9 multivariate multivariate NOUN bracis-28361 132 10 correlation correlation NOUN bracis-28361 132 11 matrix matrix NOUN bracis-28361 132 12 , , PUNCT bracis-28361 132 13 which which PRON bracis-28361 132 14 consists consist VERB bracis-28361 132 15 of of ADP bracis-28361 132 16 pairwise pairwise PROPN bracis-28361 132 17 pearson pearson NOUN bracis-28361 132 18 correlation correlation NOUN bracis-28361 132 19 coefficients coefficient NOUN bracis-28361 132 20 between between ADP bracis-28361 132 21 all all DET bracis-28361 132 22 pairs pair NOUN bracis-28361 132 23 of of ADP bracis-28361 132 24 variables variable NOUN bracis-28361 132 25 . . PUNCT bracis-28361 133 1 this this DET bracis-28361 133 2 matrix matrix NOUN bracis-28361 133 3 allows allow VERB bracis-28361 133 4 us we PRON bracis-28361 133 5 to to PART bracis-28361 133 6 analyze analyze VERB bracis-28361 133 7 relationships relationship NOUN bracis-28361 133 8 between between ADP bracis-28361 133 9 multiple multiple ADJ bracis-28361 133 10 variables variable NOUN bracis-28361 133 11 and and CCONJ bracis-28361 133 12 identify identify VERB bracis-28361 133 13 the the DET bracis-28361 133 14 most most ADV bracis-28361 133 15 highly highly ADV bracis-28361 133 16 correlated correlate VERB bracis-28361 133 17 variables variable NOUN bracis-28361 133 18 . . PUNCT bracis-28361 134 1 the the DET bracis-28361 134 2 overall overall ADJ bracis-28361 134 3 correlation correlation NOUN bracis-28361 134 4 value value NOUN bracis-28361 134 5 for for ADP bracis-28361 134 6 the the DET bracis-28361 134 7 feature feature NOUN bracis-28361 134 8 f f PROPN bracis-28361 134 9 can can AUX bracis-28361 134 10 be be AUX bracis-28361 134 11 formulated formulate VERB bracis-28361 134 12 as as SCONJ bracis-28361 134 13 follows follow VERB bracis-28361 134 14 : : PUNCT bracis-28361 134 15 $ $ SYM bracis-28361 134 16 $ $ SYM bracis-28361 134 17 \begin{aligned \begin{aligne VERB bracis-28361 134 18 } } PUNCT bracis-28361 134 19 cs_f cs_f X bracis-28361 134 20 = = PUNCT bracis-28361 134 21 \frac{\sum \frac{\sum VERB bracis-28361 134 22 _ _ PUNCT bracis-28361 134 23 { { PUNCT bracis-28361 134 24 k}^{n}r_{fk}}{n k}^{n}r_{fk}}{n NOUN bracis-28361 134 25 } } PUNCT bracis-28361 134 26 \end{aligned}$$ \end{aligned}$$ X bracis-28361 134 27 ( ( PUNCT bracis-28361 134 28 2 2 NUM bracis-28361 134 29 ) ) PUNCT bracis-28361 134 30 where where SCONJ bracis-28361 134 31 \(cs_f\ \(cs_f\ NOUN bracis-28361 134 32 ) ) PUNCT bracis-28361 134 33 is be AUX bracis-28361 134 34 the the DET bracis-28361 134 35 correlation correlation NOUN bracis-28361 134 36 score score NOUN bracis-28361 134 37 for for ADP bracis-28361 134 38 the the DET bracis-28361 134 39 feature feature NOUN bracis-28361 134 40 f f NOUN bracis-28361 134 41 , , PUNCT bracis-28361 134 42 \(r_{fk}\ \(r_{fk}\ NOUN bracis-28361 134 43 ) ) PUNCT bracis-28361 134 44 represent represent VERB bracis-28361 134 45 the the DET bracis-28361 134 46 person person NOUN bracis-28361 134 47 correlation correlation NOUN bracis-28361 134 48 score score NOUN bracis-28361 134 49 for for ADP bracis-28361 134 50 the the DET bracis-28361 134 51 feature feature NOUN bracis-28361 134 52 tuple tuple NOUN bracis-28361 134 53 ( ( PUNCT bracis-28361 134 54 f f X bracis-28361 134 55 , , PUNCT bracis-28361 134 56 k k NOUN bracis-28361 134 57 ) ) PUNCT bracis-28361 134 58 and and CCONJ bracis-28361 134 59 n n DET bracis-28361 134 60 the the DET bracis-28361 134 61 total total ADJ bracis-28361 134 62 number number NOUN bracis-28361 134 63 of of ADP bracis-28361 134 64 feature feature NOUN bracis-28361 134 65 in in ADP bracis-28361 134 66 the the DET bracis-28361 134 67 dataset dataset NOUN bracis-28361 134 68 . . PUNCT bracis-28361 135 1 in in ADP bracis-28361 135 2 the the DET bracis-28361 135 3 global global ADJ bracis-28361 135 4 feature feature NOUN bracis-28361 135 5 generation generation NOUN bracis-28361 135 6 block block NOUN bracis-28361 135 7 , , PUNCT bracis-28361 135 8 an an DET bracis-28361 135 9 mlp mlp NOUN bracis-28361 135 10 is be AUX bracis-28361 135 11 utilized utilize VERB bracis-28361 135 12 to to PART bracis-28361 135 13 merge merge VERB bracis-28361 135 14 the the DET bracis-28361 135 15 features feature NOUN bracis-28361 135 16 extracted extract VERB bracis-28361 135 17 from from ADP bracis-28361 135 18 the the DET bracis-28361 135 19 local local ADJ bracis-28361 135 20 feature feature NOUN bracis-28361 135 21 extraction extraction NOUN bracis-28361 135 22 block block NOUN bracis-28361 135 23 and and CCONJ bracis-28361 135 24 generate generate VERB bracis-28361 135 25 novel novel ADJ bracis-28361 135 26 features feature NOUN bracis-28361 135 27 . . PUNCT bracis-28361 136 1 these these DET bracis-28361 136 2 novel novel ADJ bracis-28361 136 3 features feature NOUN bracis-28361 136 4 are be AUX bracis-28361 136 5 then then ADV bracis-28361 136 6 appended append VERB bracis-28361 136 7 to to ADP bracis-28361 136 8 the the DET bracis-28361 136 9 original original ADJ bracis-28361 136 10 dataset dataset NOUN bracis-28361 136 11 and and CCONJ bracis-28361 136 12 used use VERB bracis-28361 136 13 in in ADP bracis-28361 136 14 the the DET bracis-28361 136 15 machine machine NOUN bracis-28361 136 16 - - PUNCT bracis-28361 136 17 learning learn VERB bracis-28361 136 18 model model NOUN bracis-28361 136 19 . . PUNCT bracis-28361 137 1 3.3 3.3 NUM bracis-28361 137 2 evolution evolution NOUN bracis-28361 137 3 process process NOUN bracis-28361 137 4 in in ADP bracis-28361 137 5 this this DET bracis-28361 137 6 work work NOUN bracis-28361 137 7 , , PUNCT bracis-28361 137 8 we we PRON bracis-28361 137 9 adopt adopt VERB bracis-28361 137 10 an an DET bracis-28361 137 11 evolution evolution NOUN bracis-28361 137 12 process process NOUN bracis-28361 137 13 for for ADP bracis-28361 137 14 conducting conduct VERB bracis-28361 137 15 autofe autofe NOUN bracis-28361 137 16 , , PUNCT bracis-28361 137 17 as as SCONJ bracis-28361 137 18 depicted depict VERB bracis-28361 137 19 in in ADP bracis-28361 137 20 fig fig NOUN bracis-28361 137 21 . . PUNCT bracis-28361 137 22     SPACE bracis-28361 138 1 3 3 X bracis-28361 138 2 . . PUNCT bracis-28361 139 1 this this DET bracis-28361 139 2 process process NOUN bracis-28361 139 3 involves involve VERB bracis-28361 139 4 three three NUM bracis-28361 139 5 distinct distinct ADJ bracis-28361 139 6 steps step NOUN bracis-28361 139 7 : : PUNCT bracis-28361 139 8 ( ( PUNCT bracis-28361 139 9 1 1 X bracis-28361 139 10 ) ) PUNCT bracis-28361 139 11 feature feature NOUN bracis-28361 139 12 selection selection NOUN bracis-28361 139 13 , , PUNCT bracis-28361 139 14 ( ( PUNCT bracis-28361 139 15 2 2 X bracis-28361 139 16 ) ) PUNCT bracis-28361 139 17 population population NOUN bracis-28361 139 18 initialization initialization NOUN bracis-28361 139 19 , , PUNCT bracis-28361 139 20 and and CCONJ bracis-28361 139 21 ( ( PUNCT bracis-28361 139 22 3 3 X bracis-28361 139 23 ) ) PUNCT bracis-28361 139 24 feature feature NOUN bracis-28361 139 25 evolution evolution NOUN bracis-28361 139 26 . . PUNCT bracis-28361 140 1 fig fig NOUN bracis-28361 140 2 . . PUNCT bracis-28361 141 1 3 3 X bracis-28361 141 2 . . X bracis-28361 141 3 feature feature NOUN bracis-28361 141 4 evolution evolution NOUN bracis-28361 141 5 process process NOUN bracis-28361 141 6 . . PUNCT bracis-28361 142 1 full full ADJ bracis-28361 142 2 size size NOUN bracis-28361 142 3 image image NOUN bracis-28361 142 4 the the DET bracis-28361 142 5 first first ADJ bracis-28361 142 6 step step NOUN bracis-28361 142 7 of of ADP bracis-28361 142 8 our our PRON bracis-28361 142 9 proposed propose VERB bracis-28361 142 10 approach approach NOUN bracis-28361 142 11 is be AUX bracis-28361 142 12 to to PART bracis-28361 142 13 reduce reduce VERB bracis-28361 142 14 the the DET bracis-28361 142 15 combination combination NOUN bracis-28361 142 16 of of ADP bracis-28361 142 17 uncorrelated uncorrelated ADJ bracis-28361 142 18 and and CCONJ bracis-28361 142 19 redundant redundant ADJ bracis-28361 142 20 features feature NOUN bracis-28361 142 21 using use VERB bracis-28361 142 22 a a DET bracis-28361 142 23 feature feature NOUN bracis-28361 142 24 selection selection NOUN bracis-28361 142 25 method method NOUN bracis-28361 142 26 . . PUNCT bracis-28361 143 1 we we PRON bracis-28361 143 2 used use VERB bracis-28361 143 3 the the DET bracis-28361 143 4 maximum maximum ADJ bracis-28361 143 5 relevance relevance NOUN bracis-28361 143 6 - - PUNCT bracis-28361 143 7 minimum minimum NOUN bracis-28361 143 8 redundancy redundancy NOUN bracis-28361 143 9 ( ( PUNCT bracis-28361 143 10 mrmr mrmr X bracis-28361 143 11 ) ) PUNCT bracis-28361 144 1 [ [ X bracis-28361 144 2 12 12 NUM bracis-28361 144 3 ] ] PUNCT bracis-28361 144 4 method method NOUN bracis-28361 144 5 for for ADP bracis-28361 144 6 this this DET bracis-28361 144 7 purpose purpose NOUN bracis-28361 144 8 . . PUNCT bracis-28361 145 1 by by ADP bracis-28361 145 2 minimizing minimize VERB bracis-28361 145 3 the the DET bracis-28361 145 4 combination combination NOUN bracis-28361 145 5 of of ADP bracis-28361 145 6 such such ADJ bracis-28361 145 7 features feature NOUN bracis-28361 145 8 , , PUNCT bracis-28361 145 9 we we PRON bracis-28361 145 10 aim aim VERB bracis-28361 145 11 to to PART bracis-28361 145 12 reduce reduce VERB bracis-28361 145 13 the the DET bracis-28361 145 14 introduction introduction NOUN bracis-28361 145 15 of of ADP bracis-28361 145 16 noise noise NOUN bracis-28361 145 17 into into ADP bracis-28361 145 18 the the DET bracis-28361 145 19 model model NOUN bracis-28361 145 20 and and CCONJ bracis-28361 145 21 improve improve VERB bracis-28361 145 22 the the DET bracis-28361 145 23 quality quality NOUN bracis-28361 145 24 of of ADP bracis-28361 145 25 the the DET bracis-28361 145 26 features feature NOUN bracis-28361 145 27 generated generate VERB bracis-28361 145 28 by by ADP bracis-28361 145 29 the the DET bracis-28361 145 30 cnn cnn PROPN bracis-28361 145 31 model model NOUN bracis-28361 145 32 . . PUNCT bracis-28361 146 1 during during ADP bracis-28361 146 2 the the DET bracis-28361 146 3 population population NOUN bracis-28361 146 4 initialization initialization NOUN bracis-28361 146 5 step step NOUN bracis-28361 146 6 , , PUNCT bracis-28361 146 7 we we PRON bracis-28361 146 8 generate generate VERB bracis-28361 146 9 a a DET bracis-28361 146 10 population population NOUN bracis-28361 146 11 of of ADP bracis-28361 146 12 the the DET bracis-28361 146 13 cnn cnn PROPN bracis-28361 146 14 model model NOUN bracis-28361 146 15 pop pop NOUN bracis-28361 146 16 that that PRON bracis-28361 146 17 is be AUX bracis-28361 146 18 evolved evolve VERB bracis-28361 146 19 in in ADP bracis-28361 146 20 the the DET bracis-28361 146 21 feature feature NOUN bracis-28361 146 22 evolution evolution NOUN bracis-28361 146 23 step step NOUN bracis-28361 146 24 . . PUNCT bracis-28361 147 1 to to PART bracis-28361 147 2 evaluate evaluate VERB bracis-28361 147 3 this this DET bracis-28361 147 4 initial initial ADJ bracis-28361 147 5 population population NOUN bracis-28361 147 6 , , PUNCT bracis-28361 147 7 we we PRON bracis-28361 147 8 use use VERB bracis-28361 147 9 a a DET bracis-28361 147 10 machine machine NOUN bracis-28361 147 11 learning learn VERB bracis-28361 147 12 model model NOUN bracis-28361 147 13 on on ADP bracis-28361 147 14 the the DET bracis-28361 147 15 dataset dataset NOUN bracis-28361 147 16 resulting result VERB bracis-28361 147 17 from from ADP bracis-28361 147 18 step step NOUN bracis-28361 147 19 ( ( PUNCT bracis-28361 147 20 1 1 NUM bracis-28361 147 21 ) ) PUNCT bracis-28361 147 22 specifically specifically ADV bracis-28361 147 23 , , PUNCT bracis-28361 147 24 we we PRON bracis-28361 147 25 take take VERB bracis-28361 147 26 the the DET bracis-28361 147 27 set set NOUN bracis-28361 147 28 of of ADP bracis-28361 147 29 features feature NOUN bracis-28361 147 30 f f PROPN bracis-28361 147 31 * * PROPN bracis-28361 147 32 from from ADP bracis-28361 147 33 the the DET bracis-28361 147 34 feature feature NOUN bracis-28361 147 35 selection selection NOUN bracis-28361 147 36 step step NOUN bracis-28361 147 37 and and CCONJ bracis-28361 147 38 input input VERB bracis-28361 147 39 them they PRON bracis-28361 147 40 into into ADP bracis-28361 147 41 the the DET bracis-28361 147 42 cnn cnn PROPN bracis-28361 147 43 model model NOUN bracis-28361 147 44 p p PROPN bracis-28361 147 45 ( ( PUNCT bracis-28361 147 46 where where SCONJ bracis-28361 147 47 \(p \(p PROPN bracis-28361 147 48 \in \in PROPN bracis-28361 147 49 pop\ pop\ NOUN bracis-28361 147 50 ) ) PUNCT bracis-28361 147 51 ) ) PUNCT bracis-28361 147 52 to to PART bracis-28361 147 53 generate generate VERB bracis-28361 147 54 n n DET bracis-28361 147 55 new new ADJ bracis-28361 147 56 features feature NOUN bracis-28361 147 57 f. f. PROPN bracis-28361 147 58 these these DET bracis-28361 147 59 newly newly ADV bracis-28361 147 60 created create VERB bracis-28361 147 61 features feature NOUN bracis-28361 147 62 are be AUX bracis-28361 147 63 concatenated concatenate VERB bracis-28361 147 64 with with ADP bracis-28361 147 65 the the DET bracis-28361 147 66 original original ADJ bracis-28361 147 67 dataset dataset NOUN bracis-28361 147 68 d d NOUN bracis-28361 147 69 to to PART bracis-28361 147 70 create create VERB bracis-28361 147 71 a a DET bracis-28361 147 72 new new ADJ bracis-28361 147 73 dataset dataset NOUN bracis-28361 147 74 \(d \(d NOUN bracis-28361 147 75 * * SYM bracis-28361 147 76 \left\ \left\ PROPN bracis-28361 147 77 { { PUNCT bracis-28361 147 78 f f PROPN bracis-28361 147 79 \cup \cup PROPN bracis-28361 147 80 f f PROPN bracis-28361 147 81 \right\ \right\ ADV bracis-28361 147 82 } } PUNCT bracis-28361 147 83 \ \ NOUN bracis-28361 147 84 ) ) PUNCT bracis-28361 147 85 , , PUNCT bracis-28361 147 86 which which PRON bracis-28361 147 87 is be AUX bracis-28361 147 88 then then ADV bracis-28361 147 89 evaluated evaluate VERB bracis-28361 147 90 by by ADP bracis-28361 147 91 the the DET bracis-28361 147 92 machine machine NOUN bracis-28361 147 93 learning learn VERB bracis-28361 147 94 model model NOUN bracis-28361 147 95 \(l^m\ \(l^m\ PROPN bracis-28361 147 96 ) ) PUNCT bracis-28361 147 97 to to PART bracis-28361 147 98 obtain obtain VERB bracis-28361 147 99 a a DET bracis-28361 147 100 score score NOUN bracis-28361 147 101 \(s_p\ \(s_p\ ADP bracis-28361 147 102 ) ) PUNCT bracis-28361 147 103 . . PUNCT bracis-28361 148 1 in in ADP bracis-28361 148 2 the the DET bracis-28361 148 3 trait trait NOUN bracis-28361 148 4 evolution evolution NOUN bracis-28361 148 5 step step NOUN bracis-28361 148 6 , , PUNCT bracis-28361 148 7 a a DET bracis-28361 148 8 genetic genetic ADJ bracis-28361 148 9 algorithm algorithm NOUN bracis-28361 148 10 [ [ X bracis-28361 148 11 13 13 NUM bracis-28361 148 12 ] ] PUNCT bracis-28361 148 13 is be AUX bracis-28361 148 14 used use VERB bracis-28361 148 15 to to PART bracis-28361 148 16 evolve evolve VERB bracis-28361 148 17 the the DET bracis-28361 148 18 population population NOUN bracis-28361 148 19 and and CCONJ bracis-28361 148 20 identify identify VERB bracis-28361 148 21 the the DET bracis-28361 148 22 most most ADV bracis-28361 148 23 effective effective ADJ bracis-28361 148 24 traits trait NOUN bracis-28361 148 25 to to PART bracis-28361 148 26 improve improve VERB bracis-28361 148 27 the the DET bracis-28361 148 28 performance performance NOUN bracis-28361 148 29 score score NOUN bracis-28361 148 30 obtained obtain VERB bracis-28361 148 31 by by ADP bracis-28361 148 32 \(l^m\ \(l^m\ PROPN bracis-28361 148 33 ) ) PUNCT bracis-28361 148 34 . . PUNCT bracis-28361 149 1 during during ADP bracis-28361 149 2 each each DET bracis-28361 149 3 epoch epoch NOUN bracis-28361 149 4 of of ADP bracis-28361 149 5 the the DET bracis-28361 149 6 genetic genetic ADJ bracis-28361 149 7 algorithm algorithm NOUN bracis-28361 149 8 , , PUNCT bracis-28361 149 9 for for ADP bracis-28361 149 10 each each DET bracis-28361 149 11 model model NOUN bracis-28361 149 12 p p NOUN bracis-28361 149 13 that that PRON bracis-28361 149 14 is be AUX bracis-28361 149 15 not not PART bracis-28361 149 16 part part NOUN bracis-28361 149 17 of of ADP bracis-28361 149 18 the the DET bracis-28361 149 19 elite elite ADJ bracis-28361 149 20 group group NOUN bracis-28361 149 21 e e NOUN bracis-28361 149 22 ( ( PUNCT bracis-28361 149 23 where where SCONJ bracis-28361 149 24 \(e \(e PRON bracis-28361 149 25 is be AUX bracis-28361 149 26 \in \in ADJ bracis-28361 149 27 pop\ pop\ NOUN bracis-28361 149 28 ) ) PUNCT bracis-28361 149 29 ) ) PUNCT bracis-28361 149 30 , , PUNCT bracis-28361 149 31 a a DET bracis-28361 149 32 crossover crossover NOUN bracis-28361 149 33 is be AUX bracis-28361 149 34 performed perform VERB bracis-28361 149 35 between between ADP bracis-28361 149 36 its its PRON bracis-28361 149 37 weights weight NOUN bracis-28361 149 38 and and CCONJ bracis-28361 149 39 those those PRON bracis-28361 149 40 of of ADP bracis-28361 149 41 a a DET bracis-28361 149 42 second second ADJ bracis-28361 149 43 model model NOUN bracis-28361 149 44 \(p'\ \(p'\ ADJ bracis-28361 149 45 ) ) PUNCT bracis-28361 149 46 , , PUNCT bracis-28361 149 47 which which PRON bracis-28361 149 48 is be AUX bracis-28361 149 49 selected select VERB bracis-28361 149 50 using use VERB bracis-28361 149 51 a a DET bracis-28361 149 52 round round ADJ bracis-28361 149 53 - - PUNCT bracis-28361 149 54 robin robin NOUN bracis-28361 149 55 tournament tournament NOUN bracis-28361 149 56 [ [ X bracis-28361 149 57 18 18 NUM bracis-28361 149 58 ] ] PUNCT bracis-28361 149 59 . . PUNCT bracis-28361 150 1 following follow VERB bracis-28361 150 2 the the DET bracis-28361 150 3 crossover crossover NOUN bracis-28361 150 4 process process NOUN bracis-28361 150 5 , , PUNCT bracis-28361 150 6 the the DET bracis-28361 150 7 offspring offspring NOUN bracis-28361 150 8 generated generate VERB bracis-28361 150 9 by by ADP bracis-28361 150 10 this this DET bracis-28361 150 11 operation operation NOUN bracis-28361 150 12 can can AUX bracis-28361 150 13 be be AUX bracis-28361 150 14 subjected subject VERB bracis-28361 150 15 to to ADP bracis-28361 150 16 mutation mutation NOUN bracis-28361 150 17 . . PUNCT bracis-28361 151 1 the the DET bracis-28361 151 2 features feature NOUN bracis-28361 151 3 produced produce VERB bracis-28361 151 4 by by ADP bracis-28361 151 5 the the DET bracis-28361 151 6 offspring offspring NOUN bracis-28361 151 7 are be AUX bracis-28361 151 8 then then ADV bracis-28361 151 9 evaluated evaluate VERB bracis-28361 151 10 , , PUNCT bracis-28361 151 11 as as SCONJ bracis-28361 151 12 described describe VERB bracis-28361 151 13 in in ADP bracis-28361 151 14 the the DET bracis-28361 151 15 initialization initialization NOUN bracis-28361 151 16 of of ADP bracis-28361 151 17 the the DET bracis-28361 151 18 population population NOUN bracis-28361 151 19 initialization initialization NOUN bracis-28361 151 20 step step NOUN bracis-28361 151 21 . . PUNCT bracis-28361 152 1 if if SCONJ bracis-28361 152 2 the the DET bracis-28361 152 3 score score NOUN bracis-28361 152 4 obtained obtain VERB bracis-28361 152 5 by by ADP bracis-28361 152 6 \(l^m\ \(l^m\ PROPN bracis-28361 152 7 ) ) PUNCT bracis-28361 152 8 is be AUX bracis-28361 152 9 better well ADJ bracis-28361 152 10 than than ADP bracis-28361 152 11 the the DET bracis-28361 152 12 current current ADJ bracis-28361 152 13 score score NOUN bracis-28361 152 14 for for ADP bracis-28361 152 15 p p NOUN bracis-28361 152 16 or or CCONJ bracis-28361 152 17 if if SCONJ bracis-28361 152 18 depreciation depreciation NOUN bracis-28361 152 19 is be AUX bracis-28361 152 20 allowed allow VERB bracis-28361 152 21 , , PUNCT bracis-28361 152 22 the the DET bracis-28361 152 23 offspring offspring NOUN bracis-28361 152 24 replaces replace VERB bracis-28361 152 25 the the DET bracis-28361 152 26 current current ADJ bracis-28361 152 27 model model NOUN bracis-28361 152 28 p p PROPN bracis-28361 152 29 and and CCONJ bracis-28361 152 30 the the DET bracis-28361 152 31 score score NOUN bracis-28361 152 32 is be AUX bracis-28361 152 33 updated update VERB bracis-28361 152 34 . . PUNCT bracis-28361 153 1 4 4 NUM bracis-28361 153 2 results result NOUN bracis-28361 153 3 in in ADP bracis-28361 153 4 this this DET bracis-28361 153 5 section section NOUN bracis-28361 153 6 , , PUNCT bracis-28361 153 7 we we PRON bracis-28361 153 8 aim aim VERB bracis-28361 153 9 to to PART bracis-28361 153 10 answer answer VERB bracis-28361 153 11 the the DET bracis-28361 153 12 following follow VERB bracis-28361 153 13 research research NOUN bracis-28361 153 14 questions question NOUN bracis-28361 153 15 : : PUNCT bracis-28361 153 16 rq1 rq1 NOUN bracis-28361 153 17 : : PUNCT bracis-28361 153 18 how how SCONJ bracis-28361 153 19 effective effective ADJ bracis-28361 153 20 is be AUX bracis-28361 153 21 correlation correlation NOUN bracis-28361 153 22 - - PUNCT bracis-28361 153 23 pooling pooling NOUN bracis-28361 153 24 compared compare VERB bracis-28361 153 25 to to ADP bracis-28361 153 26 max max NOUN bracis-28361 153 27 - - PUNCT bracis-28361 153 28 pooling pooling NOUN bracis-28361 153 29 ? ? PUNCT bracis-28361 154 1 rq2 rq2 NOUN bracis-28361 154 2 : : PUNCT bracis-28361 154 3 study study NOUN bracis-28361 154 4 of of ADP bracis-28361 154 5 the the DET bracis-28361 154 6 impact impact NOUN bracis-28361 154 7 of of ADP bracis-28361 154 8 the the DET bracis-28361 154 9 number number NOUN bracis-28361 154 10 of of ADP bracis-28361 154 11 data datum NOUN bracis-28361 154 12 on on ADP bracis-28361 154 13 the the DET bracis-28361 154 14 correlation correlation NOUN bracis-28361 154 15 pooling pool VERB bracis-28361 154 16 computation computation NOUN bracis-28361 154 17 ? ? PUNCT bracis-28361 155 1 rq3 rq3 NOUN bracis-28361 155 2 : : PUNCT bracis-28361 155 3 how how SCONJ bracis-28361 155 4 effective effective ADJ bracis-28361 155 5 is be AUX bracis-28361 155 6 the the DET bracis-28361 155 7 proposed propose VERB bracis-28361 155 8 featgenn featgenn NOUN bracis-28361 155 9 approach approach NOUN bracis-28361 155 10 ? ? PUNCT bracis-28361 156 1 ( ( PUNCT bracis-28361 156 2 comparison comparison NOUN bracis-28361 156 3 with with ADP bracis-28361 156 4 literature literature NOUN bracis-28361 156 5 ) ) PUNCT bracis-28361 156 6 4.1 4.1 NUM bracis-28361 156 7 experimental experimental ADJ bracis-28361 156 8 setup setup NOUN bracis-28361 156 9 to to PART bracis-28361 156 10 evaluate evaluate VERB bracis-28361 156 11 the the DET bracis-28361 156 12 performance performance NOUN bracis-28361 156 13 of of ADP bracis-28361 156 14 the the DET bracis-28361 156 15 featgenn featgenn NOUN bracis-28361 156 16 model model NOUN bracis-28361 156 17 , , PUNCT bracis-28361 156 18 on on ADP bracis-28361 156 19 classification classification NOUN bracis-28361 156 20 problems problem NOUN bracis-28361 156 21 , , PUNCT bracis-28361 156 22 6 6 NUM bracis-28361 156 23 classification classification NOUN bracis-28361 156 24 datasets dataset NOUN bracis-28361 156 25 from from ADP bracis-28361 156 26 the the DET bracis-28361 156 27 uci uci PROPN bracis-28361 156 28 repository repository NOUN bracis-28361 156 29 , , PUNCT bracis-28361 156 30 which which PRON bracis-28361 156 31 were be AUX bracis-28361 156 32 used use VERB bracis-28361 156 33 in in ADP bracis-28361 156 34 the the DET bracis-28361 156 35 state state NOUN bracis-28361 156 36 - - PUNCT bracis-28361 156 37 of of ADP bracis-28361 156 38 - - PUNCT bracis-28361 156 39 the the DET bracis-28361 156 40 - - PUNCT bracis-28361 156 41 art art NOUN bracis-28361 156 42 methods method NOUN bracis-28361 156 43 [ [ X bracis-28361 156 44 7 7 NUM bracis-28361 156 45 , , PUNCT bracis-28361 156 46 11 11 NUM bracis-28361 156 47 ] ] PUNCT bracis-28361 156 48 , , PUNCT bracis-28361 156 49 were be AUX bracis-28361 156 50 selected select VERB bracis-28361 156 51 . . PUNCT bracis-28361 157 1 the the DET bracis-28361 157 2 description description NOUN bracis-28361 157 3 of of ADP bracis-28361 157 4 each each DET bracis-28361 157 5 dataset dataset NOUN bracis-28361 157 6 in in ADP bracis-28361 157 7 terms term NOUN bracis-28361 157 8 of of ADP bracis-28361 157 9 the the DET bracis-28361 157 10 number number NOUN bracis-28361 157 11 of of ADP bracis-28361 157 12 features feature NOUN bracis-28361 157 13 and and CCONJ bracis-28361 157 14 number number NOUN bracis-28361 157 15 of of ADP bracis-28361 157 16 samples sample NOUN bracis-28361 157 17 is be AUX bracis-28361 157 18 presented present VERB bracis-28361 157 19 in in ADP bracis-28361 157 20 table table NOUN bracis-28361 157 21     SPACE bracis-28361 157 22 1 1 NUM bracis-28361 157 23 . . PUNCT bracis-28361 157 24 table table NOUN bracis-28361 157 25 1 1 NUM bracis-28361 157 26 . . PUNCT bracis-28361 158 1 statistics statistic NOUN bracis-28361 158 2 of of ADP bracis-28361 158 3 the the DET bracis-28361 158 4 benchmarks benchmark NOUN bracis-28361 158 5 used use VERB bracis-28361 158 6 to to PART bracis-28361 158 7 perform perform VERB bracis-28361 158 8 the the DET bracis-28361 158 9 evaluation evaluation NOUN bracis-28361 158 10 of of ADP bracis-28361 158 11 the the DET bracis-28361 158 12 featgenn featgenn NOUN bracis-28361 158 13 features.full features.full NOUN bracis-28361 158 14 size size NOUN bracis-28361 158 15 table table NOUN bracis-28361 158 16 in in ADP bracis-28361 158 17 our our PRON bracis-28361 158 18 experiments experiment NOUN bracis-28361 158 19 , , PUNCT bracis-28361 158 20 we we PRON bracis-28361 158 21 use use VERB bracis-28361 158 22 the the DET bracis-28361 158 23 f1 f1 NOUN bracis-28361 158 24 - - PUNCT bracis-28361 158 25 score score NOUN bracis-28361 158 26 as as ADP bracis-28361 158 27 the the DET bracis-28361 158 28 evaluation evaluation NOUN bracis-28361 158 29 measure measure NOUN bracis-28361 158 30 , , PUNCT bracis-28361 158 31 which which PRON bracis-28361 158 32 is be AUX bracis-28361 158 33 also also ADV bracis-28361 158 34 commonly commonly ADV bracis-28361 158 35 used use VERB bracis-28361 158 36 in in ADP bracis-28361 158 37 the the DET bracis-28361 158 38 related relate VERB bracis-28361 158 39 works work NOUN bracis-28361 158 40 [ [ X bracis-28361 158 41 11 11 NUM bracis-28361 158 42 ] ] PUNCT bracis-28361 158 43 and and CCONJ bracis-28361 158 44 [ [ X bracis-28361 158 45 7 7 NUM bracis-28361 158 46 ] ] PUNCT bracis-28361 158 47 . . PUNCT bracis-28361 159 1 the the DET bracis-28361 159 2 threshold threshold NOUN bracis-28361 159 3 for for ADP bracis-28361 159 4 questions question NOUN bracis-28361 159 5 rq1 rq1 VERB bracis-28361 159 6 and and CCONJ bracis-28361 159 7 rq2 rq2 NOUN bracis-28361 159 8 was be AUX bracis-28361 159 9 set set VERB bracis-28361 159 10 at at ADP bracis-28361 159 11 80 80 NUM bracis-28361 159 12 % % NOUN bracis-28361 159 13 of of ADP bracis-28361 159 14 the the DET bracis-28361 159 15 available available ADJ bracis-28361 159 16 data datum NOUN bracis-28361 159 17 in in ADP bracis-28361 159 18 the the DET bracis-28361 159 19 dataset dataset NOUN bracis-28361 159 20 . . PUNCT bracis-28361 160 1 to to PART bracis-28361 160 2 ensure ensure VERB bracis-28361 160 3 robustness robustness NOUN bracis-28361 160 4 and and CCONJ bracis-28361 160 5 reliability reliability NOUN bracis-28361 160 6 , , PUNCT bracis-28361 160 7 we we PRON bracis-28361 160 8 use use VERB bracis-28361 160 9 5 5 NUM bracis-28361 160 10 - - ADJ bracis-28361 160 11 fold fold ADJ bracis-28361 160 12 cross cross NOUN bracis-28361 160 13 - - NOUN bracis-28361 160 14 validation validation ADJ bracis-28361 160 15 , , PUNCT bracis-28361 160 16 in in ADP bracis-28361 160 17 which which PRON bracis-28361 160 18 the the DET bracis-28361 160 19 dataset dataset NOUN bracis-28361 160 20 is be AUX bracis-28361 160 21 divided divide VERB bracis-28361 160 22 into into ADP bracis-28361 160 23 five five NUM bracis-28361 160 24 subsets subset NOUN bracis-28361 160 25 or or CCONJ bracis-28361 160 26 folds fold NOUN bracis-28361 160 27 and and CCONJ bracis-28361 160 28 the the DET bracis-28361 160 29 evaluation evaluation NOUN bracis-28361 160 30 is be AUX bracis-28361 160 31 performed perform VERB bracis-28361 160 32 five five NUM bracis-28361 160 33 times time NOUN bracis-28361 160 34 , , PUNCT bracis-28361 160 35 with with ADP bracis-28361 160 36 each each DET bracis-28361 160 37 fold fold NOUN bracis-28361 160 38 serving serve VERB bracis-28361 160 39 once once ADV bracis-28361 160 40 as as ADP bracis-28361 160 41 a a DET bracis-28361 160 42 test test NOUN bracis-28361 160 43 set set NOUN bracis-28361 160 44 . . PUNCT bracis-28361 161 1 this this DET bracis-28361 161 2 approach approach NOUN bracis-28361 161 3 helps help VERB bracis-28361 161 4 mitigate mitigate VERB bracis-28361 161 5 the the DET bracis-28361 161 6 effects effect NOUN bracis-28361 161 7 of of ADP bracis-28361 161 8 data datum NOUN bracis-28361 161 9 variability variability NOUN bracis-28361 161 10 and and CCONJ bracis-28361 161 11 provides provide VERB bracis-28361 161 12 a a DET bracis-28361 161 13 more more ADV bracis-28361 161 14 comprehensive comprehensive ADJ bracis-28361 161 15 assessment assessment NOUN bracis-28361 161 16 of of ADP bracis-28361 161 17 the the DET bracis-28361 161 18 model model NOUN bracis-28361 161 19 ’s ’s PART bracis-28361 161 20 performance performance NOUN bracis-28361 161 21 . . PUNCT bracis-28361 162 1 as as ADP bracis-28361 162 2 for for ADP bracis-28361 162 3 the the DET bracis-28361 162 4 chosen choose VERB bracis-28361 162 5 algorithm algorithm NOUN bracis-28361 162 6 , , PUNCT bracis-28361 162 7 we we PRON bracis-28361 162 8 use use VERB bracis-28361 162 9 random random ADJ bracis-28361 162 10 forest forest NOUN bracis-28361 162 11 as as ADP bracis-28361 162 12 the the DET bracis-28361 162 13 base base NOUN bracis-28361 162 14 method method NOUN bracis-28361 162 15 in in ADP bracis-28361 162 16 all all DET bracis-28361 162 17 our our PRON bracis-28361 162 18 experiments experiment NOUN bracis-28361 162 19 . . PUNCT bracis-28361 163 1 random random ADJ bracis-28361 163 2 forest forest NOUN bracis-28361 163 3 is be AUX bracis-28361 163 4 a a DET bracis-28361 163 5 popular popular ADJ bracis-28361 163 6 and and CCONJ bracis-28361 163 7 widely widely ADV bracis-28361 163 8 used use VERB bracis-28361 163 9 ensemble ensemble ADJ bracis-28361 163 10 learning learning NOUN bracis-28361 163 11 method method NOUN bracis-28361 163 12 known know VERB bracis-28361 163 13 for for ADP bracis-28361 163 14 its its PRON bracis-28361 163 15 robustness robustness NOUN bracis-28361 163 16 and and CCONJ bracis-28361 163 17 ability ability NOUN bracis-28361 163 18 to to PART bracis-28361 163 19 handle handle VERB bracis-28361 163 20 different different ADJ bracis-28361 163 21 types type NOUN bracis-28361 163 22 of of ADP bracis-28361 163 23 data datum NOUN bracis-28361 163 24 . . PUNCT bracis-28361 164 1 4.2 4.2 NUM bracis-28361 164 2 effectiveness effectiveness NOUN bracis-28361 164 3 of of ADP bracis-28361 164 4     SPACE bracis-28361 164 5 correlation correlation NOUN bracis-28361 164 6 - - PUNCT bracis-28361 164 7 pooling pooling NOUN bracis-28361 164 8 vs. vs. ADP bracis-28361 164 9 max max PROPN bracis-28361 164 10 - - PUNCT bracis-28361 164 11 pooling pool VERB bracis-28361 164 12 ( ( PUNCT bracis-28361 164 13 rq1 rq1 NOUN bracis-28361 164 14 ) ) PUNCT bracis-28361 164 15 in in ADP bracis-28361 164 16 this this DET bracis-28361 164 17 subsection subsection NOUN bracis-28361 164 18 , , PUNCT bracis-28361 164 19 this this DET bracis-28361 164 20 experiment experiment NOUN bracis-28361 164 21 aims aim VERB bracis-28361 164 22 to to PART bracis-28361 164 23 answer answer VERB bracis-28361 164 24 : : PUNCT bracis-28361 164 25 can can AUX bracis-28361 164 26 our our PRON bracis-28361 164 27 featgenn featgenn NOUN bracis-28361 164 28 with with ADP bracis-28361 164 29 correlation correlation NOUN bracis-28361 164 30 - - PUNCT bracis-28361 164 31 pooling pooling NOUN bracis-28361 164 32 achieve achieve VERB bracis-28361 164 33 competitive competitive ADJ bracis-28361 164 34 results result NOUN bracis-28361 164 35 compared compare VERB bracis-28361 164 36 to to ADP bracis-28361 164 37 the the DET bracis-28361 164 38 version version NOUN bracis-28361 164 39 with with ADP bracis-28361 164 40 max max PROPN bracis-28361 164 41 - - PUNCT bracis-28361 164 42 pooling pool VERB bracis-28361 164 43 ? ? PUNCT bracis-28361 165 1 table table NOUN bracis-28361 165 2     SPACE bracis-28361 165 3 2 2 NUM bracis-28361 165 4 shows show VERB bracis-28361 165 5 the the DET bracis-28361 165 6 comparison comparison NOUN bracis-28361 165 7 results result VERB bracis-28361 165 8 in in ADP bracis-28361 165 9 terms term NOUN bracis-28361 165 10 of of ADP bracis-28361 165 11 f1 f1 NOUN bracis-28361 165 12 score score NOUN bracis-28361 165 13 . . PUNCT bracis-28361 166 1 the the DET bracis-28361 166 2 results result NOUN bracis-28361 166 3 show show VERB bracis-28361 166 4 that that SCONJ bracis-28361 166 5 the the DET bracis-28361 166 6 featgenn featgenn NOUN bracis-28361 166 7 with with ADP bracis-28361 166 8 correlation correlation NOUN bracis-28361 166 9 - - PUNCT bracis-28361 166 10 pooling pool VERB bracis-28361 166 11 outperforms outperform NOUN bracis-28361 166 12 the the DET bracis-28361 166 13 version version NOUN bracis-28361 166 14 with with ADP bracis-28361 166 15 max max PROPN bracis-28361 166 16 - - PUNCT bracis-28361 166 17 pooling pooling NOUN bracis-28361 166 18 in in ADP bracis-28361 166 19 most most ADJ bracis-28361 166 20 datasets dataset NOUN bracis-28361 166 21 . . PUNCT bracis-28361 167 1 the the DET bracis-28361 167 2 only only ADJ bracis-28361 167 3 exceptions exception NOUN bracis-28361 167 4 are be AUX bracis-28361 167 5 the the DET bracis-28361 167 6 megawatt1 megawatt1 NOUN bracis-28361 167 7 and and CCONJ bracis-28361 167 8 credit_default credit_default NOUN bracis-28361 167 9 datasets dataset NOUN bracis-28361 167 10 , , PUNCT bracis-28361 167 11 where where SCONJ bracis-28361 167 12 the the DET bracis-28361 167 13 results result NOUN bracis-28361 167 14 are be AUX bracis-28361 167 15 very very ADV bracis-28361 167 16 similar similar ADJ bracis-28361 167 17 . . PUNCT bracis-28361 168 1 this this DET bracis-28361 168 2 result result NOUN bracis-28361 168 3 can can AUX bracis-28361 168 4 be be AUX bracis-28361 168 5 attributed attribute VERB bracis-28361 168 6 to to ADP bracis-28361 168 7 the the DET bracis-28361 168 8 fact fact NOUN bracis-28361 168 9 that that SCONJ bracis-28361 168 10 correlation correlation NOUN bracis-28361 168 11 - - PUNCT bracis-28361 168 12 pooling pooling NOUN bracis-28361 168 13 takes take VERB bracis-28361 168 14 into into ADP bracis-28361 168 15 account account NOUN bracis-28361 168 16 the the DET bracis-28361 168 17 relationships relationship NOUN bracis-28361 168 18 between between ADP bracis-28361 168 19 features feature NOUN bracis-28361 168 20 when when SCONJ bracis-28361 168 21 generating generate VERB bracis-28361 168 22 new new ADJ bracis-28361 168 23 features feature NOUN bracis-28361 168 24 , , PUNCT bracis-28361 168 25 which which PRON bracis-28361 168 26 contributes contribute VERB bracis-28361 168 27 to to ADP bracis-28361 168 28 its its PRON bracis-28361 168 29 relatively relatively ADV bracis-28361 168 30 better well ADJ bracis-28361 168 31 performance performance NOUN bracis-28361 168 32 . . PUNCT bracis-28361 169 1 table table NOUN bracis-28361 169 2 2 2 NUM bracis-28361 169 3 . . PUNCT bracis-28361 169 4 comparing compare VERB bracis-28361 169 5 featgenn featgenn NOUN bracis-28361 169 6 performance performance NOUN bracis-28361 169 7 with with ADP bracis-28361 169 8 correlation correlation NOUN bracis-28361 169 9 - - PUNCT bracis-28361 169 10 pooling pool VERB bracis-28361 169 11 and and CCONJ bracis-28361 169 12 max max PROPN bracis-28361 169 13 - - PUNCT bracis-28361 169 14 pooling pooling NOUN bracis-28361 169 15 . . PUNCT bracis-28361 170 1 the the DET bracis-28361 170 2 * * PUNCT bracis-28361 170 3 denotes denote VERB bracis-28361 170 4 the the DET bracis-28361 170 5 version version NOUN bracis-28361 170 6 of of ADP bracis-28361 170 7 the the DET bracis-28361 170 8 featgenn featgenn NOUN bracis-28361 170 9 that that PRON bracis-28361 170 10 was be AUX bracis-28361 170 11 executed execute VERB bracis-28361 170 12 with with ADP bracis-28361 170 13 correlation correlation NOUN bracis-28361 170 14 - - PUNCT bracis-28361 170 15 pooling pooling NOUN bracis-28361 170 16 . . PUNCT bracis-28361 171 1 the the DET bracis-28361 171 2 results result NOUN bracis-28361 171 3 are be AUX bracis-28361 171 4 the the DET bracis-28361 171 5 average average ADJ bracis-28361 171 6 score score NOUN bracis-28361 171 7 , , PUNCT bracis-28361 171 8 and and CCONJ bracis-28361 171 9 the the DET bracis-28361 171 10 standard standard ADJ bracis-28361 171 11 deviation deviation NOUN bracis-28361 171 12 , , PUNCT bracis-28361 171 13 after after ADP bracis-28361 171 14 30 30 NUM bracis-28361 171 15 runsfull runsfull ADJ bracis-28361 171 16 size size NOUN bracis-28361 171 17 table table NOUN bracis-28361 171 18 4.3 4.3 NUM bracis-28361 171 19 impact impact NOUN bracis-28361 171 20 of of ADP bracis-28361 171 21     SPACE bracis-28361 171 22 the the DET bracis-28361 171 23     SPACE bracis-28361 171 24 number number NOUN bracis-28361 171 25 of of ADP bracis-28361 171 26     SPACE bracis-28361 171 27 data datum NOUN bracis-28361 171 28 on on ADP bracis-28361 171 29     SPACE bracis-28361 171 30 the the DET bracis-28361 171 31     SPACE bracis-28361 171 32 correlation correlation NOUN bracis-28361 171 33 pooling pool VERB bracis-28361 171 34 computation computation NOUN bracis-28361 171 35 ( ( PUNCT bracis-28361 171 36 rq2 rq2 NOUN bracis-28361 171 37 ) ) PUNCT bracis-28361 171 38 in in ADP bracis-28361 171 39 this this DET bracis-28361 171 40 subsection subsection NOUN bracis-28361 171 41 , , PUNCT bracis-28361 171 42 our our PRON bracis-28361 171 43 experiment experiment NOUN bracis-28361 171 44 aims aim VERB bracis-28361 171 45 to to PART bracis-28361 171 46 answer answer VERB bracis-28361 171 47 the the DET bracis-28361 171 48 question question NOUN bracis-28361 171 49 : : PUNCT bracis-28361 171 50 what what PRON bracis-28361 171 51 is be AUX bracis-28361 171 52 the the DET bracis-28361 171 53 influence influence NOUN bracis-28361 171 54 of of ADP bracis-28361 171 55 the the DET bracis-28361 171 56 number number NOUN bracis-28361 171 57 of of ADP bracis-28361 171 58 available available ADJ bracis-28361 171 59 data datum NOUN bracis-28361 171 60 on on ADP bracis-28361 171 61 the the DET bracis-28361 171 62 correlation correlation NOUN bracis-28361 171 63 - - PUNCT bracis-28361 171 64 pooling pool VERB bracis-28361 171 65 computation computation NOUN bracis-28361 171 66 ? ? PUNCT bracis-28361 171 67 . . PUNCT bracis-28361 172 1 figure figure NOUN bracis-28361 172 2     SPACE bracis-28361 172 3 4 4 NUM bracis-28361 172 4 shows show VERB bracis-28361 172 5 the the DET bracis-28361 172 6 performance performance NOUN bracis-28361 172 7 of of ADP bracis-28361 172 8 three three NUM bracis-28361 172 9 versions version NOUN bracis-28361 172 10 of of ADP bracis-28361 172 11 featgenn featgenn NOUN bracis-28361 172 12 : : PUNCT bracis-28361 172 13 featgenn featgenn NOUN bracis-28361 172 14 ( ( PUNCT bracis-28361 172 15 using use VERB bracis-28361 172 16 all all DET bracis-28361 172 17 available available ADJ bracis-28361 172 18 data datum NOUN bracis-28361 172 19 ) ) PUNCT bracis-28361 172 20 , , PUNCT bracis-28361 172 21 featgenn featgenn NOUN bracis-28361 172 22 ( ( PUNCT bracis-28361 172 23 using use VERB bracis-28361 172 24 60 60 NUM bracis-28361 172 25 % % NOUN bracis-28361 172 26 of of ADP bracis-28361 172 27 the the DET bracis-28361 172 28 data datum NOUN bracis-28361 172 29 ) ) PUNCT bracis-28361 172 30 , , PUNCT bracis-28361 172 31 and and CCONJ bracis-28361 172 32 featgenn featgenn NOUN bracis-28361 172 33 * * PUNCT bracis-28361 172 34 ( ( PUNCT bracis-28361 172 35 using use VERB bracis-28361 172 36 30 30 NUM bracis-28361 172 37 % % NOUN bracis-28361 172 38 of of ADP bracis-28361 172 39 the the DET bracis-28361 172 40 data datum NOUN bracis-28361 172 41 ) ) PUNCT bracis-28361 172 42 . . PUNCT bracis-28361 173 1 the the DET bracis-28361 173 2 results result NOUN bracis-28361 173 3 show show VERB bracis-28361 173 4 that that SCONJ bracis-28361 173 5 , , PUNCT bracis-28361 173 6 as as SCONJ bracis-28361 173 7 expected expect VERB bracis-28361 173 8 , , PUNCT bracis-28361 173 9 the the DET bracis-28361 173 10 performance performance NOUN bracis-28361 173 11 of of ADP bracis-28361 173 12 the the DET bracis-28361 173 13 model model NOUN bracis-28361 173 14 varies vary VERB bracis-28361 173 15 with with ADP bracis-28361 173 16 the the DET bracis-28361 173 17 amount amount NOUN bracis-28361 173 18 of of ADP bracis-28361 173 19 data datum NOUN bracis-28361 173 20 used use VERB bracis-28361 173 21 to to PART bracis-28361 173 22 compute compute VERB bracis-28361 173 23 the the DET bracis-28361 173 24 correlation correlation NOUN bracis-28361 173 25 - - PUNCT bracis-28361 173 26 pooling pooling NOUN bracis-28361 173 27 . . PUNCT bracis-28361 174 1 on on ADP bracis-28361 174 2 average average ADJ bracis-28361 174 3 , , PUNCT bracis-28361 174 4 the the DET bracis-28361 174 5 version version NOUN bracis-28361 174 6 with with ADP bracis-28361 174 7 access access NOUN bracis-28361 174 8 to to ADP bracis-28361 174 9 the the DET bracis-28361 174 10 entire entire ADJ bracis-28361 174 11 dataset dataset NOUN bracis-28361 174 12 achieves achieve VERB bracis-28361 174 13 a a DET bracis-28361 174 14 performance performance NOUN bracis-28361 174 15 improvement improvement NOUN bracis-28361 174 16 of of ADP bracis-28361 174 17 0.76 0.76 NUM bracis-28361 174 18 % % NOUN bracis-28361 174 19 and and CCONJ bracis-28361 174 20 1.38 1.38 NUM bracis-28361 174 21 % % NOUN bracis-28361 174 22 compared compare VERB bracis-28361 174 23 to to ADP bracis-28361 174 24 the the DET bracis-28361 174 25 featgenn featgenn NOUN bracis-28361 174 26 and and CCONJ bracis-28361 174 27 featgenn featgenn NOUN bracis-28361 174 28 * * NOUN bracis-28361 174 29 versions version NOUN bracis-28361 174 30 , , PUNCT bracis-28361 174 31 respectively respectively ADV bracis-28361 174 32 . . PUNCT bracis-28361 175 1 compared compare VERB bracis-28361 175 2 to to ADP bracis-28361 175 3 the the DET bracis-28361 175 4 version version NOUN bracis-28361 175 5 that that PRON bracis-28361 175 6 used use VERB bracis-28361 175 7 80 80 NUM bracis-28361 175 8 % % NOUN bracis-28361 175 9 of of ADP bracis-28361 175 10 the the DET bracis-28361 175 11 available available ADJ bracis-28361 175 12 data datum NOUN bracis-28361 175 13 , , PUNCT bracis-28361 175 14 the the DET bracis-28361 175 15 result result NOUN bracis-28361 175 16 after after SCONJ bracis-28361 175 17 30 30 NUM bracis-28361 175 18 epochs epoch NOUN bracis-28361 175 19 is be AUX bracis-28361 175 20 very very ADV bracis-28361 175 21 similar similar ADJ bracis-28361 175 22 , , PUNCT bracis-28361 175 23 although although SCONJ bracis-28361 175 24 the the DET bracis-28361 175 25 version version NOUN bracis-28361 175 26 with with ADP bracis-28361 175 27 more more ADJ bracis-28361 175 28 data datum NOUN bracis-28361 175 29 performs perform VERB bracis-28361 175 30 better well ADV bracis-28361 175 31 in in ADP bracis-28361 175 32 fewer few ADJ bracis-28361 175 33 epochs epoch NOUN bracis-28361 175 34 . . PUNCT bracis-28361 176 1 these these DET bracis-28361 176 2 results result NOUN bracis-28361 176 3 indicate indicate VERB bracis-28361 176 4 that that SCONJ bracis-28361 176 5 the the DET bracis-28361 176 6 performance performance NOUN bracis-28361 176 7 of of ADP bracis-28361 176 8 featgenn featgenn NOUN bracis-28361 176 9 is be AUX bracis-28361 176 10 still still ADV bracis-28361 176 11 competitive competitive ADJ bracis-28361 176 12 with with ADP bracis-28361 176 13 the the DET bracis-28361 176 14 original original ADJ bracis-28361 176 15 version version NOUN bracis-28361 176 16 , , PUNCT bracis-28361 176 17 even even ADV bracis-28361 176 18 though though SCONJ bracis-28361 176 19 the the DET bracis-28361 176 20 performance performance NOUN bracis-28361 176 21 decreases decrease VERB bracis-28361 176 22 slightly slightly ADV bracis-28361 176 23 with with ADP bracis-28361 176 24 less less ADV bracis-28361 176 25 available available ADJ bracis-28361 176 26 data datum NOUN bracis-28361 176 27 . . PUNCT bracis-28361 177 1 fig fig NOUN bracis-28361 177 2 . . PUNCT bracis-28361 178 1 4 4 X bracis-28361 178 2 . . X bracis-28361 178 3 the the DET bracis-28361 178 4 performance performance NOUN bracis-28361 178 5 of of ADP bracis-28361 178 6 the the DET bracis-28361 178 7 different different ADJ bracis-28361 178 8 versions version NOUN bracis-28361 178 9 of of ADP bracis-28361 178 10 featgenn featgenn NOUN bracis-28361 178 11 is be AUX bracis-28361 178 12 compared compare VERB bracis-28361 178 13 in in ADP bracis-28361 178 14 terms term NOUN bracis-28361 178 15 of of ADP bracis-28361 178 16 the the DET bracis-28361 178 17 amount amount NOUN bracis-28361 178 18 of of ADP bracis-28361 178 19 data datum NOUN bracis-28361 178 20 used use VERB bracis-28361 178 21 for for ADP bracis-28361 178 22 computation computation NOUN bracis-28361 178 23 . . PUNCT bracis-28361 179 1 in in ADP bracis-28361 179 2 the the DET bracis-28361 179 3 image image NOUN bracis-28361 179 4 , , PUNCT bracis-28361 179 5 the the DET bracis-28361 179 6 symbol symbol NOUN bracis-28361 179 7 represents represent VERB bracis-28361 179 8 the the DET bracis-28361 179 9 version version NOUN bracis-28361 179 10 that that PRON bracis-28361 179 11 used use VERB bracis-28361 179 12 60 60 NUM bracis-28361 179 13 % % NOUN bracis-28361 179 14 of of ADP bracis-28361 179 15 the the DET bracis-28361 179 16 available available ADJ bracis-28361 179 17 data datum NOUN bracis-28361 179 18 , , PUNCT bracis-28361 179 19 the the DET bracis-28361 179 20 * * PUNCT bracis-28361 179 21 symbol symbol NOUN bracis-28361 179 22 represents represent VERB bracis-28361 179 23 the the DET bracis-28361 179 24 version version NOUN bracis-28361 179 25 that that PRON bracis-28361 179 26 used use VERB bracis-28361 179 27 30 30 NUM bracis-28361 179 28 % % NOUN bracis-28361 179 29 of of ADP bracis-28361 179 30 the the DET bracis-28361 179 31 data datum NOUN bracis-28361 179 32 , , PUNCT bracis-28361 179 33 and and CCONJ bracis-28361 179 34 the the DET bracis-28361 179 35 symbol symbol NOUN bracis-28361 179 36 \(^{\circ \(^{\circ PROPN bracis-28361 179 37 } } PUNCT bracis-28361 179 38 \ \ NOUN bracis-28361 179 39 ) ) PUNCT bracis-28361 179 40 represents represent VERB bracis-28361 179 41 the the DET bracis-28361 179 42 version version NOUN bracis-28361 179 43 that that PRON bracis-28361 179 44 used use VERB bracis-28361 179 45 100 100 NUM bracis-28361 179 46 % % NOUN bracis-28361 179 47 of of ADP bracis-28361 179 48 the the DET bracis-28361 179 49 data datum NOUN bracis-28361 179 50 . . PUNCT bracis-28361 180 1 the the DET bracis-28361 180 2 featgenn featgenn NOUN bracis-28361 180 3 without without ADP bracis-28361 180 4 symbol symbol NOUN bracis-28361 180 5 stands stand VERB bracis-28361 180 6 for for ADP bracis-28361 180 7 the the DET bracis-28361 180 8 version version NOUN bracis-28361 180 9 that that PRON bracis-28361 180 10 used use VERB bracis-28361 180 11 80 80 NUM bracis-28361 180 12 % % NOUN bracis-28361 180 13 of of ADP bracis-28361 180 14 the the DET bracis-28361 180 15 available available ADJ bracis-28361 180 16 data datum NOUN bracis-28361 180 17 . . PUNCT bracis-28361 181 1 full full ADJ bracis-28361 181 2 size size NOUN bracis-28361 181 3 image image NOUN bracis-28361 181 4 4.4 4.4 NUM bracis-28361 181 5 effectiveness effectiveness NOUN bracis-28361 181 6 of of ADP bracis-28361 181 7     SPACE bracis-28361 181 8 featgenn featgenn NOUN bracis-28361 181 9 ( ( PUNCT bracis-28361 181 10 rq3 rq3 PROPN bracis-28361 181 11 ) ) PUNCT bracis-28361 181 12 in in ADP bracis-28361 181 13 this this DET bracis-28361 181 14 subsection subsection NOUN bracis-28361 181 15 , , PUNCT bracis-28361 181 16 this this DET bracis-28361 181 17 experiment experiment NOUN bracis-28361 181 18 aims aim VERB bracis-28361 181 19 to to PART bracis-28361 181 20 answer answer VERB bracis-28361 181 21 : : PUNCT bracis-28361 181 22 can can AUX bracis-28361 181 23 our our PRON bracis-28361 181 24 featgenn featgenn NOUN bracis-28361 181 25 with with ADP bracis-28361 181 26 correlation correlation NOUN bracis-28361 181 27 - - PUNCT bracis-28361 181 28 pooling pooling NOUN bracis-28361 181 29 achieve achieve VERB bracis-28361 181 30 competitive competitive ADJ bracis-28361 181 31 results result NOUN bracis-28361 181 32 when when SCONJ bracis-28361 181 33 compared compare VERB bracis-28361 181 34 to to ADP bracis-28361 181 35 the the DET bracis-28361 181 36 state state NOUN bracis-28361 181 37 - - PUNCT bracis-28361 181 38 of of ADP bracis-28361 181 39 - - PUNCT bracis-28361 181 40 the the DET bracis-28361 181 41 - - PUNCT bracis-28361 181 42 art art NOUN bracis-28361 181 43 models model NOUN bracis-28361 181 44 ? ? PUNCT bracis-28361 181 45 . . PUNCT bracis-28361 182 1 we we PRON bracis-28361 182 2 compare compare VERB bracis-28361 182 3 featgenn featgenn NOUN bracis-28361 182 4 on on ADP bracis-28361 182 5 6 6 NUM bracis-28361 182 6 datasets dataset NOUN bracis-28361 182 7 with with ADP bracis-28361 182 8 state state NOUN bracis-28361 182 9 - - PUNCT bracis-28361 182 10 of of ADP bracis-28361 182 11 - - PUNCT bracis-28361 182 12 the the DET bracis-28361 182 13 - - PUNCT bracis-28361 182 14 art art NOUN bracis-28361 182 15 methods method NOUN bracis-28361 182 16 , , PUNCT bracis-28361 182 17 including include VERB bracis-28361 182 18 ( ( PUNCT bracis-28361 182 19 a a DET bracis-28361 182 20 ) ) PUNCT bracis-28361 182 21 base base NOUN bracis-28361 182 22 : : PUNCT bracis-28361 182 23 raw raw ADJ bracis-28361 182 24 dataset dataset NOUN bracis-28361 182 25 without without ADP bracis-28361 182 26 any any DET bracis-28361 182 27 transformation transformation NOUN bracis-28361 182 28 ; ; PUNCT bracis-28361 182 29 ( ( PUNCT bracis-28361 182 30 b b X bracis-28361 182 31 ) ) PUNCT bracis-28361 182 32 random random ADJ bracis-28361 182 33 : : PUNCT bracis-28361 182 34 randomly randomly ADV bracis-28361 182 35 apply apply VERB bracis-28361 182 36 a a DET bracis-28361 182 37 transformation transformation NOUN bracis-28361 182 38 to to ADP bracis-28361 182 39 each each DET bracis-28361 182 40 raw raw ADJ bracis-28361 182 41 feature feature NOUN bracis-28361 182 42 ; ; PUNCT bracis-28361 182 43 ( ( PUNCT bracis-28361 182 44 c c X bracis-28361 182 45 ) ) PUNCT bracis-28361 182 46 dfs dfs NOUN bracis-28361 183 1 [ [ X bracis-28361 183 2 4 4 NUM bracis-28361 183 3 ] ] PUNCT bracis-28361 183 4 ; ; PUNCT bracis-28361 183 5 ( ( PUNCT bracis-28361 183 6 d d X bracis-28361 183 7 ) ) PUNCT bracis-28361 183 8 autofeat autofeat NOUN bracis-28361 184 1 [ [ X bracis-28361 184 2 10 10 NUM bracis-28361 184 3 ] ] PUNCT bracis-28361 184 4 ; ; PUNCT bracis-28361 184 5 ( ( PUNCT bracis-28361 184 6 e e X bracis-28361 184 7 ) ) PUNCT bracis-28361 184 8 lfe lfe NOUN bracis-28361 185 1 [ [ X bracis-28361 185 2 6 6 NUM bracis-28361 185 3 ] ] PUNCT bracis-28361 185 4 ; ; PUNCT bracis-28361 185 5 ( ( PUNCT bracis-28361 185 6 f f X bracis-28361 185 7 ) ) PUNCT bracis-28361 185 8 nfs nfs NOUN bracis-28361 186 1 [ [ X bracis-28361 186 2 11 11 NUM bracis-28361 186 3 ] ] PUNCT bracis-28361 186 4 ; ; PUNCT bracis-28361 186 5 and and CCONJ bracis-28361 186 6 ( ( PUNCT bracis-28361 186 7 g g NOUN bracis-28361 186 8 ) ) PUNCT bracis-28361 186 9 difer difer NOUN bracis-28361 187 1 [ [ X bracis-28361 187 2 7 7 NUM bracis-28361 187 3 ] ] PUNCT bracis-28361 187 4 . . PUNCT bracis-28361 188 1 table table NOUN bracis-28361 188 2 3 3 NUM bracis-28361 188 3 . . X bracis-28361 188 4 comparison comparison NOUN bracis-28361 188 5 between between ADP bracis-28361 188 6 featgenn featgenn NOUN bracis-28361 188 7 with with ADP bracis-28361 188 8 other other ADJ bracis-28361 188 9 methods method NOUN bracis-28361 188 10 from from ADP bracis-28361 188 11 the the DET bracis-28361 188 12 literature literature NOUN bracis-28361 188 13 , , PUNCT bracis-28361 188 14 reported report VERB bracis-28361 188 15 on on ADP bracis-28361 188 16 [ [ X bracis-28361 188 17 7 7 NUM bracis-28361 188 18 ] ] PUNCT bracis-28361 188 19 . . PUNCT bracis-28361 189 1 * * PUNCT bracis-28361 189 2 reports report VERB bracis-28361 189 3 the the DET bracis-28361 189 4 average average ADJ bracis-28361 189 5 and and CCONJ bracis-28361 189 6 standard standard ADJ bracis-28361 189 7 deviation deviation NOUN bracis-28361 189 8 across across ADP bracis-28361 189 9 30 30 NUM bracis-28361 189 10 runs run NOUN bracis-28361 189 11 , , PUNCT bracis-28361 189 12 while while SCONJ bracis-28361 189 13 the the DET bracis-28361 189 14 featgenn featgenn NOUN bracis-28361 189 15 column column NOUN bracis-28361 189 16 reports report VERB bracis-28361 189 17 the the DET bracis-28361 189 18 maximum maximum ADJ bracis-28361 189 19 value value NOUN bracis-28361 189 20 across across ADP bracis-28361 189 21 the the DET bracis-28361 189 22 same same ADJ bracis-28361 189 23 runs.full runs.full ADJ bracis-28361 189 24 size size NOUN bracis-28361 189 25 table table NOUN bracis-28361 189 26 table table NOUN bracis-28361 189 27     SPACE bracis-28361 189 28 3 3 NUM bracis-28361 189 29 shows show VERB bracis-28361 189 30 the the DET bracis-28361 189 31 comparative comparative ADJ bracis-28361 189 32 results result NOUN bracis-28361 189 33 of of ADP bracis-28361 189 34 featgenn featgenn NOUN bracis-28361 189 35 relative relative ADJ bracis-28361 189 36 to to ADP bracis-28361 189 37 existing exist VERB bracis-28361 189 38 methods method NOUN bracis-28361 189 39 ( ( PUNCT bracis-28361 189 40 results result NOUN bracis-28361 189 41 reported report VERB bracis-28361 189 42 in in ADP bracis-28361 189 43 [ [ X bracis-28361 189 44 7 7 NUM bracis-28361 189 45 ] ] NUM bracis-28361 189 46 ) ) PUNCT bracis-28361 189 47 . . PUNCT bracis-28361 190 1 from from ADP bracis-28361 190 2 table table NOUN bracis-28361 190 3     SPACE bracis-28361 190 4 3 3 NUM bracis-28361 190 5 we we PRON bracis-28361 190 6 can can AUX bracis-28361 190 7 observe observe VERB bracis-28361 190 8 that that SCONJ bracis-28361 190 9 in in ADP bracis-28361 190 10 the the DET bracis-28361 190 11 classification classification NOUN bracis-28361 190 12 tasks task NOUN bracis-28361 190 13 , , PUNCT bracis-28361 190 14 the the DET bracis-28361 190 15 comparison comparison NOUN bracis-28361 190 16 shows show VERB bracis-28361 190 17 that that SCONJ bracis-28361 190 18 featgenn featgenn NOUN bracis-28361 190 19 , , PUNCT bracis-28361 190 20 performs perform VERB bracis-28361 190 21 the the DET bracis-28361 190 22 best good ADJ bracis-28361 190 23 for for ADP bracis-28361 190 24 the the DET bracis-28361 190 25 spambase spambase NOUN bracis-28361 190 26 , , PUNCT bracis-28361 190 27 credit_default credit_default NOUN bracis-28361 190 28 , , PUNCT bracis-28361 190 29 german german ADJ bracis-28361 190 30 credit credit NOUN bracis-28361 190 31 , , PUNCT bracis-28361 190 32 and and CCONJ bracis-28361 190 33 spectf spectf PROPN bracis-28361 190 34 benchmarks benchmark NOUN bracis-28361 190 35 , , PUNCT bracis-28361 190 36 the the DET bracis-28361 190 37 second second ADJ bracis-28361 190 38 best good ADJ bracis-28361 190 39 for for ADP bracis-28361 190 40 the the DET bracis-28361 190 41 ionosphere ionosphere NOUN bracis-28361 190 42 benchmark benchmark NOUN bracis-28361 190 43 and and CCONJ bracis-28361 190 44 achieves achieve VERB bracis-28361 190 45 the the DET bracis-28361 190 46 same same ADJ bracis-28361 190 47 result result NOUN bracis-28361 190 48 as as ADP bracis-28361 190 49 the the DET bracis-28361 190 50 difer difer NOUN bracis-28361 190 51 method method NOUN bracis-28361 190 52 for for ADP bracis-28361 190 53 the the DET bracis-28361 190 54 megawatt1 megawatt1 PROPN bracis-28361 190 55 benchmark benchmark NOUN bracis-28361 190 56 . . PUNCT bracis-28361 191 1 although although SCONJ bracis-28361 191 2 difer difer NOUN bracis-28361 191 3 achieves achieve VERB bracis-28361 191 4 the the DET bracis-28361 191 5 best good ADJ bracis-28361 191 6 performance performance NOUN bracis-28361 191 7 in in ADP bracis-28361 191 8 the the DET bracis-28361 191 9 ionosphere ionosphere NOUN bracis-28361 191 10 benchmark benchmark NOUN bracis-28361 191 11 , , PUNCT bracis-28361 191 12 they they PRON bracis-28361 191 13 only only ADV bracis-28361 191 14 achieve achieve VERB bracis-28361 191 15 0.58 0.58 NUM bracis-28361 191 16 % % NOUN bracis-28361 191 17 more more ADJ bracis-28361 191 18 than than ADP bracis-28361 191 19 the the DET bracis-28361 191 20 best good ADJ bracis-28361 191 21 result result NOUN bracis-28361 191 22 obtained obtain VERB bracis-28361 191 23 by by ADP bracis-28361 191 24 our our PRON bracis-28361 191 25 proposed propose VERB bracis-28361 191 26 method method NOUN bracis-28361 191 27 . . PUNCT bracis-28361 192 1 regarding regard VERB bracis-28361 192 2 the the DET bracis-28361 192 3 number number NOUN bracis-28361 192 4 of of ADP bracis-28361 192 5 features feature NOUN bracis-28361 192 6 , , PUNCT bracis-28361 192 7 table table NOUN bracis-28361 192 8     SPACE bracis-28361 192 9 4 4 NUM bracis-28361 192 10 shows show VERB bracis-28361 192 11 that that SCONJ bracis-28361 192 12 featgenn featgenn NOUN bracis-28361 192 13 excels excel NOUN bracis-28361 192 14 in in ADP bracis-28361 192 15 producing produce VERB bracis-28361 192 16 fewer few ADJ bracis-28361 192 17 features feature NOUN bracis-28361 192 18 for for ADP bracis-28361 192 19 the the DET bracis-28361 192 20 megawatt1 megawatt1 PROPN bracis-28361 192 21 , , PUNCT bracis-28361 192 22 spectf spectf NOUN bracis-28361 192 23 , , PUNCT bracis-28361 192 24 and and CCONJ bracis-28361 192 25 credit_default credit_default NOUN bracis-28361 192 26 datasets dataset NOUN bracis-28361 192 27 compared compare VERB bracis-28361 192 28 to to ADP bracis-28361 192 29 other other ADJ bracis-28361 192 30 methods method NOUN bracis-28361 192 31 . . PUNCT bracis-28361 193 1 for for ADP bracis-28361 193 2 the the DET bracis-28361 193 3 remaining remain VERB bracis-28361 193 4 datasets dataset NOUN bracis-28361 193 5 , , PUNCT bracis-28361 193 6 featgenn featgenn NOUN bracis-28361 193 7 achieves achieve VERB bracis-28361 193 8 comparable comparable ADJ bracis-28361 193 9 results result NOUN bracis-28361 193 10 with with ADP bracis-28361 193 11 the the DET bracis-28361 193 12 same same ADJ bracis-28361 193 13 number number NOUN bracis-28361 193 14 of of ADP bracis-28361 193 15 features feature NOUN bracis-28361 193 16 . . PUNCT bracis-28361 194 1 compared compare VERB bracis-28361 194 2 to to ADP bracis-28361 194 3 the the DET bracis-28361 194 4 performances performance NOUN bracis-28361 194 5 of of ADP bracis-28361 194 6 base base NOUN bracis-28361 194 7 and and CCONJ bracis-28361 194 8 random random ADJ bracis-28361 194 9 , , PUNCT bracis-28361 194 10 featgenn featgenn NOUN bracis-28361 194 11 achieved achieve VERB bracis-28361 194 12 an an DET bracis-28361 194 13 average average ADJ bracis-28361 194 14 improvement improvement NOUN bracis-28361 194 15 of of ADP bracis-28361 194 16 5.89 5.89 NUM bracis-28361 194 17 % % NOUN bracis-28361 194 18 considering consider VERB bracis-28361 194 19 all all DET bracis-28361 194 20 datasets dataset NOUN bracis-28361 194 21 , , PUNCT bracis-28361 194 22 which which PRON bracis-28361 194 23 demonstrates demonstrate VERB bracis-28361 194 24 the the DET bracis-28361 194 25 potential potential NOUN bracis-28361 194 26 of of ADP bracis-28361 194 27 the the DET bracis-28361 194 28 features feature NOUN bracis-28361 194 29 generated generate VERB bracis-28361 194 30 by by ADP bracis-28361 194 31 our our PRON bracis-28361 194 32 proposed propose VERB bracis-28361 194 33 model model NOUN bracis-28361 194 34 . . PUNCT bracis-28361 195 1 table table NOUN bracis-28361 195 2 4 4 NUM bracis-28361 195 3 . . PUNCT bracis-28361 195 4 comparison comparison NOUN bracis-28361 195 5 between between ADP bracis-28361 195 6 featgenn featgenn NOUN bracis-28361 195 7 , , PUNCT bracis-28361 195 8 difer difer VERB bracis-28361 195 9 , , PUNCT bracis-28361 195 10 autofeat autofeat ADJ bracis-28361 195 11 , , PUNCT bracis-28361 195 12 and and CCONJ bracis-28361 195 13 random random ADJ bracis-28361 195 14 ( ( PUNCT bracis-28361 195 15 \(*\ \(*\ NOUN bracis-28361 195 16 ) ) PUNCT bracis-28361 195 17 the the DET bracis-28361 195 18 results result NOUN bracis-28361 195 19 reported report VERB bracis-28361 195 20 on on ADP bracis-28361 195 21 [ [ X bracis-28361 195 22 7]).full 7]).full NUM bracis-28361 195 23 size size NOUN bracis-28361 195 24 table table NOUN bracis-28361 195 25 5 5 NUM bracis-28361 195 26 conclusion conclusion NOUN bracis-28361 195 27 in in ADP bracis-28361 195 28 this this DET bracis-28361 195 29 study study NOUN bracis-28361 195 30 , , PUNCT bracis-28361 195 31 we we PRON bracis-28361 195 32 presented present VERB bracis-28361 195 33 a a DET bracis-28361 195 34 novel novel ADJ bracis-28361 195 35 approach approach NOUN bracis-28361 195 36 for for ADP bracis-28361 195 37 generating generate VERB bracis-28361 195 38 new new ADJ bracis-28361 195 39 features feature NOUN bracis-28361 195 40 in in ADP bracis-28361 195 41 tabular tabular PROPN bracis-28361 195 42 data datum NOUN bracis-28361 195 43 that that PRON bracis-28361 195 44 combines combine VERB bracis-28361 195 45 feature feature NOUN bracis-28361 195 46 selection selection NOUN bracis-28361 195 47 and and CCONJ bracis-28361 195 48 feature feature NOUN bracis-28361 195 49 generation generation NOUN bracis-28361 195 50 to to PART bracis-28361 195 51 improve improve VERB bracis-28361 195 52 the the DET bracis-28361 195 53 performance performance NOUN bracis-28361 195 54 of of ADP bracis-28361 195 55 predictive predictive ADJ bracis-28361 195 56 models model NOUN bracis-28361 195 57 . . PUNCT bracis-28361 196 1 our our PRON bracis-28361 196 2 proposed propose VERB bracis-28361 196 3 method method NOUN bracis-28361 196 4 uses use VERB bracis-28361 196 5 a a DET bracis-28361 196 6 cnn cnn NOUN bracis-28361 196 7 architecture architecture NOUN bracis-28361 196 8 to to PART bracis-28361 196 9 effectively effectively ADV bracis-28361 196 10 capture capture VERB bracis-28361 196 11 local local ADJ bracis-28361 196 12 features feature NOUN bracis-28361 196 13 during during ADP bracis-28361 196 14 convolution convolution NOUN bracis-28361 196 15 operations operation NOUN bracis-28361 196 16 ( ( PUNCT bracis-28361 196 17 local local ADJ bracis-28361 196 18 feature feature NOUN bracis-28361 196 19 extraction extraction NOUN bracis-28361 196 20 ) ) PUNCT bracis-28361 196 21 , , PUNCT bracis-28361 196 22 thereby thereby ADV bracis-28361 196 23 reducing reduce VERB bracis-28361 196 24 the the DET bracis-28361 196 25 number number NOUN bracis-28361 196 26 of of ADP bracis-28361 196 27 combinations combination NOUN bracis-28361 196 28 required require VERB bracis-28361 196 29 in in ADP bracis-28361 196 30 the the DET bracis-28361 196 31 mlp mlp NOUN bracis-28361 196 32 phase phase NOUN bracis-28361 196 33 ( ( PUNCT bracis-28361 196 34 global global ADJ bracis-28361 196 35 feature feature NOUN bracis-28361 196 36 generation generation NOUN bracis-28361 196 37 ) ) PUNCT bracis-28361 196 38 . . PUNCT bracis-28361 197 1 in in ADP bracis-28361 197 2 addition addition NOUN bracis-28361 197 3 , , PUNCT bracis-28361 197 4 we we PRON bracis-28361 197 5 integrated integrate VERB bracis-28361 197 6 a a DET bracis-28361 197 7 correlation correlation NOUN bracis-28361 197 8 - - PUNCT bracis-28361 197 9 pooling pool VERB bracis-28361 197 10 operation operation NOUN bracis-28361 197 11 as as ADP bracis-28361 197 12 a a DET bracis-28361 197 13 dimensionality dimensionality NOUN bracis-28361 197 14 reduction reduction NOUN bracis-28361 197 15 step step NOUN bracis-28361 197 16 . . PUNCT bracis-28361 198 1 our our PRON bracis-28361 198 2 approach approach NOUN bracis-28361 198 3 demonstrates demonstrate VERB bracis-28361 198 4 efficient efficient ADJ bracis-28361 198 5 feature feature NOUN bracis-28361 198 6 learning learning NOUN bracis-28361 198 7 and and CCONJ bracis-28361 198 8 achieves achieve VERB bracis-28361 198 9 competitive competitive ADJ bracis-28361 198 10 results result NOUN bracis-28361 198 11 compared compare VERB bracis-28361 198 12 to to ADP bracis-28361 198 13 the the DET bracis-28361 198 14 architecture architecture NOUN bracis-28361 198 15 used use VERB bracis-28361 198 16 by by ADP bracis-28361 198 17 max max PROPN bracis-28361 198 18 - - PUNCT bracis-28361 198 19 pooling pool VERB bracis-28361 198 20 and and CCONJ bracis-28361 198 21 state state NOUN bracis-28361 198 22 - - PUNCT bracis-28361 198 23 of of ADP bracis-28361 198 24 - - PUNCT bracis-28361 198 25 the the DET bracis-28361 198 26 - - PUNCT bracis-28361 198 27 art art NOUN bracis-28361 198 28 methods method NOUN bracis-28361 198 29 . . PUNCT bracis-28361 199 1 as as ADP bracis-28361 199 2 a a DET bracis-28361 199 3 direction direction NOUN bracis-28361 199 4 for for ADP bracis-28361 199 5 future future ADJ bracis-28361 199 6 research research NOUN bracis-28361 199 7 , , PUNCT bracis-28361 199 8 we we PRON bracis-28361 199 9 intend intend VERB bracis-28361 199 10 to to PART bracis-28361 199 11 explore explore VERB bracis-28361 199 12 information information NOUN bracis-28361 199 13 theory theory NOUN bracis-28361 199 14 methods method NOUN bracis-28361 199 15 as as ADP bracis-28361 199 16 possible possible ADJ bracis-28361 199 17 alternatives alternative NOUN bracis-28361 199 18 for for ADP bracis-28361 199 19 pooling pool VERB bracis-28361 199 20 operations operation NOUN bracis-28361 199 21 . . PUNCT bracis-28361 200 1 this this PRON bracis-28361 200 2 could could AUX bracis-28361 200 3 further far ADV bracis-28361 200 4 increase increase VERB bracis-28361 200 5 the the DET bracis-28361 200 6 effectiveness effectiveness NOUN bracis-28361 200 7 of of ADP bracis-28361 200 8 our our PRON bracis-28361 200 9 approach approach NOUN bracis-28361 200 10 to to ADP bracis-28361 200 11 learning learn VERB bracis-28361 200 12 new new ADJ bracis-28361 200 13 features feature NOUN bracis-28361 200 14 . . PUNCT bracis-28361 201 1 references reference NOUN bracis-28361 201 2 domingos domingos PROPN bracis-28361 201 3 , , PUNCT bracis-28361 201 4 p.m. p.m. ADV bracis-28361 201 5 : : PUNCT bracis-28361 201 6 a a DET bracis-28361 201 7 few few ADJ bracis-28361 201 8 useful useful ADJ bracis-28361 201 9 things thing NOUN bracis-28361 201 10 to to PART bracis-28361 201 11 know know VERB bracis-28361 201 12 about about ADP bracis-28361 201 13 machine machine NOUN bracis-28361 201 14 learning learning NOUN bracis-28361 201 15 . . PUNCT bracis-28361 202 1 commun commun PROPN bracis-28361 202 2 . . PUNCT bracis-28361 203 1 acm acm PROPN bracis-28361 203 2 55 55 NUM bracis-28361 203 3 , , PUNCT bracis-28361 203 4 78–87 78–87 NUM bracis-28361 203 5 ( ( PUNCT bracis-28361 203 6 2012 2012 NUM bracis-28361 203 7 ) ) PUNCT bracis-28361 203 8 article article NOUN bracis-28361 203 9     SPACE bracis-28361 203 10 google google PROPN bracis-28361 203 11 scholar scholar NOUN bracis-28361 203 12     SPACE bracis-28361 203 13 guo guo PROPN bracis-28361 203 14 , , PUNCT bracis-28361 203 15 h. h. PROPN bracis-28361 203 16 , , PUNCT bracis-28361 203 17 tang tang PROPN bracis-28361 203 18 , , PUNCT bracis-28361 203 19 r. r. PROPN bracis-28361 203 20 , , PUNCT bracis-28361 203 21 ye ye PRON bracis-28361 203 22 , , PUNCT bracis-28361 203 23 y. y. PROPN bracis-28361 203 24 , , PUNCT bracis-28361 203 25 li li PROPN bracis-28361 203 26 , , PUNCT bracis-28361 203 27 z. z. PROPN bracis-28361 203 28 , , PUNCT bracis-28361 203 29 he he PRON bracis-28361 203 30 , , PUNCT bracis-28361 203 31 x. x. NOUN bracis-28361 203 32 : : PUNCT bracis-28361 203 33 deepfm deepfm NOUN bracis-28361 203 34 : : PUNCT bracis-28361 203 35 a a DET bracis-28361 203 36 factorization factorization NOUN bracis-28361 203 37 - - PUNCT bracis-28361 203 38 machine machine NOUN bracis-28361 203 39 based base VERB bracis-28361 203 40 neural neural ADJ bracis-28361 203 41 network network NOUN bracis-28361 203 42 for for ADP bracis-28361 203 43 ctr ctr PROPN bracis-28361 203 44 prediction prediction PROPN bracis-28361 203 45 . . PUNCT bracis-28361 204 1 arxiv arxiv PROPN bracis-28361 204 2 ( ( PUNCT bracis-28361 204 3 2017 2017 NUM bracis-28361 204 4 ) ) PUNCT bracis-28361 204 5 . . PUNCT bracis-28361 205 1 https://doi.org/10.48550/arxiv.1703.04247 https://doi.org/10.48550/arxiv.1703.04247 PROPN bracis-28361 205 2 cheng cheng PROPN bracis-28361 205 3 , , PUNCT bracis-28361 205 4 h. h. PROPN bracis-28361 205 5 , , PUNCT bracis-28361 205 6 et et PROPN bracis-28361 205 7 al al PROPN bracis-28361 205 8 . . PROPN bracis-28361 205 9 : : PUNCT bracis-28361 206 1 wide wide ADJ bracis-28361 206 2 & & CCONJ bracis-28361 206 3 deep deep ADJ bracis-28361 206 4 learning learning NOUN bracis-28361 206 5 for for ADP bracis-28361 206 6 recommender recommender NOUN bracis-28361 206 7 systems system NOUN bracis-28361 206 8 . . PUNCT bracis-28361 207 1 arxiv arxiv PROPN bracis-28361 207 2 ( ( PUNCT bracis-28361 207 3 2016 2016 NUM bracis-28361 207 4 ) ) PUNCT bracis-28361 207 5 . . PUNCT bracis-28361 208 1 https://doi.org/10.48550/arxiv.1606.07792 https://doi.org/10.48550/arxiv.1606.07792 PROPN bracis-28361 208 2 kanter kanter PROPN bracis-28361 208 3 , , PUNCT bracis-28361 208 4 j.m j.m PROPN bracis-28361 208 5 . . PROPN bracis-28361 208 6 , , PUNCT bracis-28361 208 7 veeramachaneni veeramachaneni PROPN bracis-28361 208 8 , , PUNCT bracis-28361 208 9 k. k. PROPN bracis-28361 208 10 : : PUNCT bracis-28361 208 11 deep deep ADJ bracis-28361 208 12 feature feature NOUN bracis-28361 208 13 synthesis synthesis NOUN bracis-28361 208 14 : : PUNCT bracis-28361 208 15 towards towards ADP bracis-28361 208 16 automating automate VERB bracis-28361 208 17 data datum NOUN bracis-28361 208 18 science science NOUN bracis-28361 208 19 endeavors endeavor NOUN bracis-28361 208 20 . . PUNCT bracis-28361 209 1 in in ADP bracis-28361 209 2 : : PUNCT bracis-28361 209 3 2015 2015 NUM bracis-28361 209 4 ieee ieee NOUN bracis-28361 209 5 international international ADJ bracis-28361 209 6 conference conference NOUN bracis-28361 209 7 on on ADP bracis-28361 209 8 data datum NOUN bracis-28361 209 9 science science NOUN bracis-28361 209 10 and and CCONJ bracis-28361 209 11 advanced advanced ADJ bracis-28361 209 12 analytics analytic NOUN bracis-28361 209 13 ( ( PUNCT bracis-28361 209 14 dsaa dsaa PROPN bracis-28361 209 15 ) ) PUNCT bracis-28361 209 16 , , PUNCT bracis-28361 209 17 pp pp PROPN bracis-28361 209 18 . . PUNCT bracis-28361 210 1 1–10 1–10 NOUN bracis-28361 210 2 ( ( PUNCT bracis-28361 210 3 2015 2015 NUM bracis-28361 210 4 ) ) PUNCT bracis-28361 210 5 google google NOUN bracis-28361 210 6 scholar scholar NOUN bracis-28361 210 7     SPACE bracis-28361 210 8 khurana khurana PROPN bracis-28361 210 9 , , PUNCT bracis-28361 210 10 u. u. PROPN bracis-28361 210 11 , , PUNCT bracis-28361 210 12 turaga turaga PROPN bracis-28361 210 13 , , PUNCT bracis-28361 210 14 d. d. PROPN bracis-28361 210 15 , , PUNCT bracis-28361 210 16 samulowitz samulowitz PROPN bracis-28361 210 17 , , PUNCT bracis-28361 210 18 h. h. PROPN bracis-28361 210 19 , , PUNCT bracis-28361 210 20 parthasrathy parthasrathy PROPN bracis-28361 210 21 , , PUNCT bracis-28361 210 22 s. s. PROPN bracis-28361 210 23 : : PUNCT bracis-28361 211 1 cognito cognito PROPN bracis-28361 211 2 : : PUNCT bracis-28361 211 3 automated automate VERB bracis-28361 211 4 feature feature NOUN bracis-28361 211 5 engineering engineering NOUN bracis-28361 211 6 for for ADP bracis-28361 211 7 supervised supervised ADJ bracis-28361 211 8 learning learning NOUN bracis-28361 211 9 ( ( PUNCT bracis-28361 211 10 2016 2016 NUM bracis-28361 211 11 ) ) PUNCT bracis-28361 211 12 google google PROPN bracis-28361 211 13 scholar scholar NOUN bracis-28361 211 14     SPACE bracis-28361 211 15 nargesian nargesian NOUN bracis-28361 211 16 , , PUNCT bracis-28361 211 17 f. f. PROPN bracis-28361 211 18 , , PUNCT bracis-28361 211 19 samulowitz samulowitz PROPN bracis-28361 211 20 , , PUNCT bracis-28361 211 21 h. h. PROPN bracis-28361 211 22 , , PUNCT bracis-28361 211 23 khurana khurana PROPN bracis-28361 211 24 , , PUNCT bracis-28361 211 25 u. u. PROPN bracis-28361 211 26 , , PUNCT bracis-28361 211 27 khalil khalil PROPN bracis-28361 211 28 , , PUNCT bracis-28361 211 29 e.b e.b PROPN bracis-28361 211 30 . . PROPN bracis-28361 211 31 , , PUNCT bracis-28361 211 32 turaga turaga PROPN bracis-28361 211 33 , , PUNCT bracis-28361 211 34 d.s d.s PROPN bracis-28361 211 35 . . PROPN bracis-28361 211 36 : : PUNCT bracis-28361 211 37 learning learn VERB bracis-28361 211 38 feature feature NOUN bracis-28361 211 39 engineering engineering NOUN bracis-28361 211 40 for for ADP bracis-28361 211 41 classification classification NOUN bracis-28361 211 42 . . PUNCT bracis-28361 212 1 in in ADP bracis-28361 212 2 : : PUNCT bracis-28361 212 3 ijcai ijcai PROPN bracis-28361 212 4 ( ( PUNCT bracis-28361 212 5 2017 2017 NUM bracis-28361 212 6 ) ) PUNCT bracis-28361 212 7 google google PROPN bracis-28361 212 8 scholar scholar NOUN bracis-28361 212 9     SPACE bracis-28361 212 10 zhu zhu PROPN bracis-28361 212 11 , , PUNCT bracis-28361 212 12 g. g. PROPN bracis-28361 212 13 , , PUNCT bracis-28361 212 14 xu xu PROPN bracis-28361 212 15 , , PUNCT bracis-28361 212 16 z. z. PROPN bracis-28361 212 17 , , PUNCT bracis-28361 212 18 guo guo PROPN bracis-28361 212 19 , , PUNCT bracis-28361 212 20 x. x. NOUN bracis-28361 212 21 , , PUNCT bracis-28361 212 22 yuan yuan PROPN bracis-28361 212 23 , , PUNCT bracis-28361 212 24 c. c. PROPN bracis-28361 212 25 , , PUNCT bracis-28361 212 26 huang huang PROPN bracis-28361 212 27 , , PUNCT bracis-28361 212 28 y. y. NOUN bracis-28361 212 29 : : PUNCT bracis-28361 212 30 difer difer NOUN bracis-28361 212 31 : : PUNCT bracis-28361 212 32 differentiable differentiable VERB bracis-28361 212 33 automated automate VERB bracis-28361 212 34 feature feature NOUN bracis-28361 212 35 engineering engineering NOUN bracis-28361 212 36 . . PUNCT bracis-28361 213 1 arxiv arxiv PROPN bracis-28361 213 2 abs/2010.08784 abs/2010.08784 PROPN bracis-28361 213 3 ( ( PUNCT bracis-28361 213 4 2020 2020 NUM bracis-28361 213 5 ) ) PUNCT bracis-28361 213 6 google google NOUN bracis-28361 213 7 scholar scholar NOUN bracis-28361 213 8     SPACE bracis-28361 213 9 székely székely ADV bracis-28361 213 10 , , PUNCT bracis-28361 213 11 g.j g.j PROPN bracis-28361 213 12 . . PROPN bracis-28361 213 13 , , PUNCT bracis-28361 213 14 rizzo rizzo PROPN bracis-28361 213 15 , , PUNCT bracis-28361 213 16 m.l m.l PROPN bracis-28361 213 17 . . PROPN bracis-28361 213 18 , , PUNCT bracis-28361 213 19 bakirov bakirov PROPN bracis-28361 213 20 , , PUNCT bracis-28361 213 21 n.k n.k PROPN bracis-28361 213 22 . . PROPN bracis-28361 213 23 : : PUNCT bracis-28361 213 24 measuring measure VERB bracis-28361 213 25 and and CCONJ bracis-28361 213 26 testing testing NOUN bracis-28361 213 27 dependence dependence NOUN bracis-28361 213 28 by by ADP bracis-28361 213 29 correlation correlation NOUN bracis-28361 213 30 of of ADP bracis-28361 213 31 distances distance NOUN bracis-28361 213 32 . . PUNCT bracis-28361 214 1 ann ann PROPN bracis-28361 214 2 . . PUNCT bracis-28361 214 3 statist statist PROPN bracis-28361 214 4 . . PUNCT bracis-28361 215 1 35(6 35(6 NUM bracis-28361 215 2 ) ) PUNCT bracis-28361 215 3 , , PUNCT bracis-28361 215 4 2769–2794 2769–2794 NUM bracis-28361 215 5 ( ( PUNCT bracis-28361 215 6 2007 2007 NUM bracis-28361 215 7 ) ) PUNCT bracis-28361 215 8 . . PUNCT bracis-28361 216 1 https://doi.org/10.1214/009053607000000505 https://doi.org/10.1214/009053607000000505 PROPN bracis-28361 216 2 article article NOUN bracis-28361 216 3     SPACE bracis-28361 216 4 mathscinet mathscinet NOUN bracis-28361 216 5     SPACE bracis-28361 216 6 math math NOUN bracis-28361 216 7     SPACE bracis-28361 216 8 google google PROPN bracis-28361 216 9 scholar scholar NOUN bracis-28361 216 10     SPACE bracis-28361 216 11 liu liu PROPN bracis-28361 216 12 , , PUNCT bracis-28361 216 13 b. b. PROPN bracis-28361 216 14 , , PUNCT bracis-28361 216 15 tang tang PROPN bracis-28361 216 16 , , PUNCT bracis-28361 216 17 r. r. PROPN bracis-28361 216 18 , , PUNCT bracis-28361 216 19 chen chen PROPN bracis-28361 216 20 , , PUNCT bracis-28361 216 21 y. y. PROPN bracis-28361 216 22 , , PUNCT bracis-28361 216 23 yu yu PROPN bracis-28361 216 24 , , PUNCT bracis-28361 216 25 j. j. PROPN bracis-28361 216 26 , , PUNCT bracis-28361 216 27 guo guo PROPN bracis-28361 216 28 , , PUNCT bracis-28361 216 29 h. h. PROPN bracis-28361 216 30 , , PUNCT bracis-28361 216 31 zhang zhang PROPN bracis-28361 216 32 , , PUNCT bracis-28361 216 33 y. y. PROPN bracis-28361 216 34 : : PUNCT bracis-28361 216 35 feature feature NOUN bracis-28361 216 36 generation generation NOUN bracis-28361 216 37 by by ADP bracis-28361 216 38 convolutional convolutional ADJ bracis-28361 216 39 neural neural ADJ bracis-28361 216 40 network network NOUN bracis-28361 216 41 for for ADP bracis-28361 216 42 click click VERB bracis-28361 216 43 - - PUNCT bracis-28361 216 44 through through ADP bracis-28361 216 45 rate rate NOUN bracis-28361 216 46 prediction prediction NOUN bracis-28361 216 47 . . PUNCT bracis-28361 217 1 in in ADP bracis-28361 217 2 : : PUNCT bracis-28361 217 3 the the DET bracis-28361 217 4 world world NOUN bracis-28361 217 5 wide wide ADJ bracis-28361 217 6 web web NOUN bracis-28361 217 7 conference conference NOUN bracis-28361 217 8 ( ( PUNCT bracis-28361 217 9 2019 2019 NUM bracis-28361 217 10 ) ) PUNCT bracis-28361 217 11 google google NOUN bracis-28361 217 12 scholar scholar NOUN bracis-28361 217 13     SPACE bracis-28361 217 14 horn horn NOUN bracis-28361 217 15 , , PUNCT bracis-28361 217 16 f. f. PROPN bracis-28361 217 17 , , PUNCT bracis-28361 217 18 pack pack PROPN bracis-28361 217 19 , , PUNCT bracis-28361 217 20 r.t r.t PROPN bracis-28361 217 21 . . PROPN bracis-28361 217 22 , , PUNCT bracis-28361 217 23 rieger rieger PROPN bracis-28361 217 24 , , PUNCT bracis-28361 217 25 m. m. NOUN bracis-28361 217 26 : : PUNCT bracis-28361 217 27 the the DET bracis-28361 217 28 autofeat autofeat PROPN bracis-28361 217 29 python python NOUN bracis-28361 217 30 library library NOUN bracis-28361 217 31 for for ADP bracis-28361 217 32 automatic automatic ADJ bracis-28361 217 33 feature feature NOUN bracis-28361 217 34 engineering engineering NOUN bracis-28361 217 35 and and CCONJ bracis-28361 217 36 selection selection NOUN bracis-28361 217 37 . . PUNCT bracis-28361 218 1 arxiv arxiv PROPN bracis-28361 218 2 abs/1901.07329 abs/1901.07329 PROPN bracis-28361 218 3 ( ( PUNCT bracis-28361 218 4 2019 2019 NUM bracis-28361 218 5 ) ) PUNCT bracis-28361 218 6 google google PROPN bracis-28361 218 7 scholar scholar NOUN bracis-28361 218 8     SPACE bracis-28361 218 9 chen chen PROPN bracis-28361 218 10 , , PUNCT bracis-28361 218 11 x. x. PROPN bracis-28361 218 12 , , PUNCT bracis-28361 218 13 et et PROPN bracis-28361 218 14 al al PROPN bracis-28361 218 15 . . PUNCT bracis-28361 218 16 : : PUNCT bracis-28361 219 1 neural neural ADJ bracis-28361 219 2 feature feature NOUN bracis-28361 219 3 search search NOUN bracis-28361 219 4 : : PUNCT bracis-28361 219 5 a a DET bracis-28361 219 6 neural neural ADJ bracis-28361 219 7 architecture architecture NOUN bracis-28361 219 8 for for ADP bracis-28361 219 9 automated automate VERB bracis-28361 219 10 feature feature NOUN bracis-28361 219 11 engineering engineering NOUN bracis-28361 219 12 . . PUNCT bracis-28361 220 1 in in ADP bracis-28361 220 2 : : PUNCT bracis-28361 220 3 2019 2019 NUM bracis-28361 220 4 ieee ieee NOUN bracis-28361 220 5 international international ADJ bracis-28361 220 6 conference conference NOUN bracis-28361 220 7 on on ADP bracis-28361 220 8 data datum NOUN bracis-28361 220 9 mining mining NOUN bracis-28361 220 10 ( ( PUNCT bracis-28361 220 11 icdm icdm NOUN bracis-28361 220 12 ) ) PUNCT bracis-28361 220 13 , , PUNCT bracis-28361 220 14 pp pp ADJ bracis-28361 220 15 . . PUNCT bracis-28361 221 1 71–80 71–80 NUM bracis-28361 221 2 ( ( PUNCT bracis-28361 221 3 2019 2019 NUM bracis-28361 221 4 ) ) PUNCT bracis-28361 221 5 google google PROPN bracis-28361 221 6 scholar scholar NOUN bracis-28361 221 7     SPACE bracis-28361 221 8 peng peng PROPN bracis-28361 221 9 , , PUNCT bracis-28361 221 10 h. h. PROPN bracis-28361 221 11 , , PUNCT bracis-28361 221 12 long long ADV bracis-28361 221 13 , , PUNCT bracis-28361 221 14 f. f. PROPN bracis-28361 221 15 , , PUNCT bracis-28361 221 16 ding ding NOUN bracis-28361 221 17 , , PUNCT bracis-28361 221 18 c. c. NOUN bracis-28361 221 19 : : PUNCT bracis-28361 221 20 feature feature NOUN bracis-28361 221 21 selection selection NOUN bracis-28361 221 22 based base VERB bracis-28361 221 23 on on ADP bracis-28361 221 24 mutual mutual ADJ bracis-28361 221 25 information information NOUN bracis-28361 221 26 criteria criterion NOUN bracis-28361 221 27 of of ADP bracis-28361 221 28 max max PROPN bracis-28361 221 29 - - PUNCT bracis-28361 221 30 dependency dependency NOUN bracis-28361 221 31 , , PUNCT bracis-28361 221 32 max max NOUN bracis-28361 221 33 - - PUNCT bracis-28361 221 34 relevance relevance NOUN bracis-28361 221 35 , , PUNCT bracis-28361 221 36 and and CCONJ bracis-28361 221 37 min min NOUN bracis-28361 221 38 - - NOUN bracis-28361 221 39 redundancy redundancy NOUN bracis-28361 221 40 . . PUNCT bracis-28361 222 1 ieee ieee PROPN bracis-28361 222 2 trans trans PROPN bracis-28361 222 3 . . PUNCT bracis-28361 222 4 pattern pattern PROPN bracis-28361 222 5 anal anal PROPN bracis-28361 222 6 . . PUNCT bracis-28361 223 1 mach mach PROPN bracis-28361 223 2 . . PUNCT bracis-28361 224 1 intell intell PROPN bracis-28361 224 2 . . PUNCT bracis-28361 225 1 27 27 NUM bracis-28361 225 2 , , PUNCT bracis-28361 225 3 1226–1238 1226–1238 NUM bracis-28361 225 4 ( ( PUNCT bracis-28361 225 5 2005 2005 NUM bracis-28361 225 6 ) ) PUNCT bracis-28361 225 7 article article NOUN bracis-28361 225 8     SPACE bracis-28361 225 9 google google PROPN bracis-28361 225 10 scholar scholar NOUN bracis-28361 225 11     SPACE bracis-28361 225 12 katoch katoch NOUN bracis-28361 225 13 , , PUNCT bracis-28361 225 14 s. s. PROPN bracis-28361 225 15 , , PUNCT bracis-28361 225 16 chauhan chauhan PROPN bracis-28361 225 17 , , PUNCT bracis-28361 225 18 s.s s.s PROPN bracis-28361 225 19 . . PROPN bracis-28361 225 20 , , PUNCT bracis-28361 225 21 kumar kumar PROPN bracis-28361 225 22 , , PUNCT bracis-28361 225 23 v. v. ADP bracis-28361 225 24 : : PUNCT bracis-28361 225 25 a a DET bracis-28361 225 26 review review NOUN bracis-28361 225 27 on on ADP bracis-28361 225 28 genetic genetic ADJ bracis-28361 225 29 algorithm algorithm NOUN bracis-28361 225 30 : : PUNCT bracis-28361 225 31 past past ADJ bracis-28361 225 32 , , PUNCT bracis-28361 225 33 present present ADJ bracis-28361 225 34 , , PUNCT bracis-28361 225 35 and and CCONJ bracis-28361 225 36 future future NOUN bracis-28361 225 37 . . PUNCT bracis-28361 226 1 multimed multime VERB bracis-28361 226 2 . . PUNCT bracis-28361 227 1 tools tool NOUN bracis-28361 227 2 appl appl PROPN bracis-28361 227 3 . . PROPN bracis-28361 227 4 80 80 NUM bracis-28361 227 5 , , PUNCT bracis-28361 227 6 8091–8126 8091–8126 NOUN bracis-28361 227 7 ( ( PUNCT bracis-28361 227 8 2021 2021 NUM bracis-28361 227 9 ) ) PUNCT bracis-28361 227 10 article article NOUN bracis-28361 227 11     SPACE bracis-28361 227 12 google google PROPN bracis-28361 227 13 scholar scholar NOUN bracis-28361 227 14     SPACE bracis-28361 227 15 bahdanau bahdanau NOUN bracis-28361 227 16 , , PUNCT bracis-28361 227 17 d. d. PROPN bracis-28361 227 18 , , PUNCT bracis-28361 227 19 cho cho PROPN bracis-28361 227 20 , , PUNCT bracis-28361 227 21 k. k. PROPN bracis-28361 227 22 , , PUNCT bracis-28361 227 23 bengio bengio PROPN bracis-28361 227 24 , , PUNCT bracis-28361 227 25 y. y. NOUN bracis-28361 227 26 : : PUNCT bracis-28361 227 27 neural neural ADJ bracis-28361 227 28 machine machine NOUN bracis-28361 227 29 translation translation NOUN bracis-28361 227 30 by by ADP bracis-28361 227 31 jointly jointly ADV bracis-28361 227 32 learning learn VERB bracis-28361 227 33 to to PART bracis-28361 227 34 align align VERB bracis-28361 227 35 and and CCONJ bracis-28361 227 36 translate translate VERB bracis-28361 227 37 . . PUNCT bracis-28361 228 1 corr corr NOUN bracis-28361 228 2 abs/1409.0473 abs/1409.0473 PROPN bracis-28361 228 3 ( ( PUNCT bracis-28361 228 4 2015 2015 NUM bracis-28361 228 5 ) ) PUNCT bracis-28361 228 6 google google PROPN bracis-28361 228 7 scholar scholar NOUN bracis-28361 228 8     SPACE bracis-28361 228 9 iandola iandola NOUN bracis-28361 228 10 , , PUNCT bracis-28361 228 11 f.n f.n PROPN bracis-28361 228 12 . . PROPN bracis-28361 228 13 , , PUNCT bracis-28361 228 14 moskewicz moskewicz PROPN bracis-28361 228 15 , , PUNCT bracis-28361 228 16 m.w m.w PROPN bracis-28361 228 17 . . PROPN bracis-28361 228 18 , , PUNCT bracis-28361 228 19 ashraf ashraf PROPN bracis-28361 228 20 , , PUNCT bracis-28361 228 21 k. k. PROPN bracis-28361 228 22 , , PUNCT bracis-28361 228 23 han han PROPN bracis-28361 228 24 , , PUNCT bracis-28361 228 25 s. s. PROPN bracis-28361 228 26 , , PUNCT bracis-28361 228 27 dally dally PROPN bracis-28361 228 28 , , PUNCT bracis-28361 228 29 w.j w.j PROPN bracis-28361 228 30 . . PROPN bracis-28361 228 31 , , PUNCT bracis-28361 228 32 keutzer keutzer PROPN bracis-28361 228 33 , , PUNCT bracis-28361 228 34 k. k. PROPN bracis-28361 228 35 : : PUNCT bracis-28361 228 36 squeezenet squeezenet NOUN bracis-28361 228 37 : : PUNCT bracis-28361 228 38 alexnet alexnet ADJ bracis-28361 228 39 - - PUNCT bracis-28361 228 40 level level NOUN bracis-28361 228 41 accuracy accuracy NOUN bracis-28361 228 42 with with ADP bracis-28361 228 43 50x 50x NUM bracis-28361 228 44 fewer few ADJ bracis-28361 228 45 parameters parameter NOUN bracis-28361 228 46 and and CCONJ bracis-28361 228 47 \(<\)1 \(<\)1 ADJ bracis-28361 228 48 mb mb ADP bracis-28361 228 49 model model NOUN bracis-28361 228 50 size size NOUN bracis-28361 228 51 . . PUNCT bracis-28361 229 1 arxiv arxiv PROPN bracis-28361 229 2 abs/1602.07360 abs/1602.07360 PROPN bracis-28361 229 3 ( ( PUNCT bracis-28361 229 4 2016 2016 NUM bracis-28361 229 5 ) ) PUNCT bracis-28361 229 6 google google PROPN bracis-28361 229 7 scholar scholar NOUN bracis-28361 229 8     SPACE bracis-28361 229 9 cheng cheng PROPN bracis-28361 229 10 , , PUNCT bracis-28361 229 11 h.-t h.-t NOUN bracis-28361 229 12 . . PUNCT bracis-28361 229 13 , , PUNCT bracis-28361 229 14 et et PROPN bracis-28361 229 15 al al PROPN bracis-28361 229 16 . . PROPN bracis-28361 229 17 : : PUNCT bracis-28361 230 1 wide wide ADJ bracis-28361 230 2 & & CCONJ bracis-28361 230 3 deep deep ADJ bracis-28361 230 4 learning learning NOUN bracis-28361 230 5 for for ADP bracis-28361 230 6 recommender recommender NOUN bracis-28361 230 7 systems system NOUN bracis-28361 230 8 . . PUNCT bracis-28361 231 1 in in ADP bracis-28361 231 2 : : PUNCT bracis-28361 231 3 proceedings proceeding NOUN bracis-28361 231 4 of of ADP bracis-28361 231 5 the the DET bracis-28361 231 6 1st 1st ADJ bracis-28361 231 7 workshop workshop NOUN bracis-28361 231 8 on on ADP bracis-28361 231 9 deep deep ADJ bracis-28361 231 10 learning learning NOUN bracis-28361 231 11 for for ADP bracis-28361 231 12 recommender recommender NOUN bracis-28361 231 13 systems system NOUN bracis-28361 231 14 ( ( PUNCT bracis-28361 231 15 2016 2016 NUM bracis-28361 231 16 ) ) PUNCT bracis-28361 231 17 google google PROPN bracis-28361 231 18 scholar scholar NOUN bracis-28361 231 19     SPACE bracis-28361 231 20 kaul kaul PROPN bracis-28361 231 21 , , PUNCT bracis-28361 231 22 a. a. NOUN bracis-28361 231 23 , , PUNCT bracis-28361 231 24 maheshwary maheshwary ADJ bracis-28361 231 25 , , PUNCT bracis-28361 231 26 s. s. PROPN bracis-28361 231 27 , , PUNCT bracis-28361 231 28 pudi pudi PROPN bracis-28361 231 29 , , PUNCT bracis-28361 231 30 v. v. ADV bracis-28361 231 31 : : PUNCT bracis-28361 231 32 autolearn autolearn VERB bracis-28361 231 33 automated automate VERB bracis-28361 231 34 feature feature NOUN bracis-28361 231 35 generation generation NOUN bracis-28361 231 36 and and CCONJ bracis-28361 231 37 selection selection NOUN bracis-28361 231 38 . . PUNCT bracis-28361 232 1 in in ADP bracis-28361 232 2 : : PUNCT bracis-28361 232 3 2017 2017 NUM bracis-28361 232 4 ieee ieee NOUN bracis-28361 232 5 international international ADJ bracis-28361 232 6 conference conference NOUN bracis-28361 232 7 on on ADP bracis-28361 232 8 data datum NOUN bracis-28361 232 9 mining mining NOUN bracis-28361 232 10 ( ( PUNCT bracis-28361 232 11 icdm icdm NOUN bracis-28361 232 12 ) ) PUNCT bracis-28361 232 13 , , PUNCT bracis-28361 232 14 pp pp ADP bracis-28361 232 15 . . PUNCT bracis-28361 233 1 217–226 217–226 NUM bracis-28361 233 2 ( ( PUNCT bracis-28361 233 3 2017 2017 NUM bracis-28361 233 4 ) ) PUNCT bracis-28361 233 5 . . PUNCT bracis-28361 234 1 https://doi.org/10.1109/icdm.2017.31 https://doi.org/10.1109/icdm.2017.31 PROPN bracis-28361 234 2 goldberg goldberg PROPN bracis-28361 234 3 , , PUNCT bracis-28361 234 4 d.e d.e PROPN bracis-28361 234 5 . . PROPN bracis-28361 234 6 , , PUNCT bracis-28361 234 7 deb deb PROPN bracis-28361 234 8 , , PUNCT bracis-28361 234 9 k. k. PROPN bracis-28361 234 10 : : PUNCT bracis-28361 234 11 a a DET bracis-28361 234 12 comparative comparative ADJ bracis-28361 234 13 analysis analysis NOUN bracis-28361 234 14 of of ADP bracis-28361 234 15 selection selection NOUN bracis-28361 234 16 schemes scheme NOUN bracis-28361 234 17 used use VERB bracis-28361 234 18 in in ADP bracis-28361 234 19 genetic genetic ADJ bracis-28361 234 20 algorithms algorithm NOUN bracis-28361 234 21 . . PUNCT bracis-28361 235 1 in in ADP bracis-28361 235 2 : : PUNCT bracis-28361 235 3 rawlins rawlin NOUN bracis-28361 235 4 , , PUNCT bracis-28361 235 5 g.j.e g.j.e INTJ bracis-28361 235 6 . . PUNCT bracis-28361 236 1 ( ( PUNCT bracis-28361 236 2 ed ed NOUN bracis-28361 236 3 . . PUNCT bracis-28361 236 4 ) ) PUNCT bracis-28361 237 1 foundations foundation NOUN bracis-28361 237 2 of of ADP bracis-28361 237 3 genetic genetic ADJ bracis-28361 237 4 algorithms algorithm NOUN bracis-28361 237 5 , , PUNCT bracis-28361 237 6 pp pp X bracis-28361 237 7 . . PUNCT bracis-28361 238 1 69–93 69–93 X bracis-28361 238 2 . . PUNCT bracis-28361 239 1 morgan morgan PROPN bracis-28361 239 2 kaufmann kaufmann PROPN bracis-28361 239 3 publishers publishers PROPN bracis-28361 239 4 inc inc PROPN bracis-28361 239 5 . . PROPN bracis-28361 239 6 , , PUNCT bracis-28361 239 7 san san PROPN bracis-28361 239 8 francisco francisco PROPN bracis-28361 239 9 ( ( PUNCT bracis-28361 239 10 1991 1991 NUM bracis-28361 239 11 ) ) PUNCT bracis-28361 239 12 google google PROPN bracis-28361 239 13 scholar scholar NOUN bracis-28361 239 14     SPACE bracis-28361 239 15 pearson pearson PROPN bracis-28361 239 16 , , PUNCT bracis-28361 239 17 k. k. PROPN bracis-28361 239 18 : : PUNCT bracis-28361 239 19 note note VERB bracis-28361 239 20 on on ADP bracis-28361 239 21 regression regression NOUN bracis-28361 239 22 and and CCONJ bracis-28361 239 23 inheritance inheritance NOUN bracis-28361 239 24 in in ADP bracis-28361 239 25 the the DET bracis-28361 239 26 case case NOUN bracis-28361 239 27 of of ADP bracis-28361 239 28 two two NUM bracis-28361 239 29 parents parent NOUN bracis-28361 239 30 . . PUNCT bracis-28361 240 1 proc proc PROPN bracis-28361 240 2 . . PUNCT bracis-28361 241 1 r. r. PROPN bracis-28361 241 2 soc soc PROPN bracis-28361 241 3 . . PUNCT bracis-28361 242 1 lond lond PROPN bracis-28361 242 2 . . PUNCT bracis-28361 243 1 58 58 NUM bracis-28361 243 2 , , PUNCT bracis-28361 243 3 240–242 240–242 NUM bracis-28361 243 4 ( ( PUNCT bracis-28361 243 5 1895 1895 NUM bracis-28361 243 6 ) ) PUNCT bracis-28361 243 7 article article NOUN bracis-28361 243 8     SPACE bracis-28361 243 9 google google PROPN bracis-28361 243 10 scholar scholar NOUN bracis-28361 243 11     SPACE bracis-28361 243 12 download download NOUN bracis-28361 243 13 references reference NOUN bracis-28361 243 14 author author NOUN bracis-28361 243 15 information information NOUN bracis-28361 243 16 authors author NOUN bracis-28361 243 17 and and CCONJ bracis-28361 243 18 affiliations affiliation NOUN bracis-28361 243 19 universidade universidade PROPN bracis-28361 243 20 federal federal PROPN bracis-28361 243 21 de de PROPN bracis-28361 243 22 ouro ouro PROPN bracis-28361 243 23 preto preto PROPN bracis-28361 243 24 , , PUNCT bracis-28361 243 25 ouro ouro NOUN bracis-28361 243 26 preto preto NOUN bracis-28361 243 27 , , PUNCT bracis-28361 243 28 35402 35402 NUM bracis-28361 243 29 - - SYM bracis-28361 243 30 163 163 NUM bracis-28361 243 31 , , PUNCT bracis-28361 243 32 brazil brazil PROPN bracis-28361 243 33 sammuel sammuel PROPN bracis-28361 243 34 ramos ramos PROPN bracis-28361 243 35 silva silva PROPN bracis-28361 243 36     SPACE bracis-28361 243 37 & & CCONJ bracis-28361 243 38     SPACE bracis-28361 243 39 rodrigo rodrigo PROPN bracis-28361 243 40 silva silva PROPN bracis-28361 243 41 cloudwalk cloudwalk PROPN bracis-28361 243 42 , , PUNCT bracis-28361 243 43 inc inc PROPN bracis-28361 243 44 . . PROPN bracis-28361 243 45 , , PUNCT bracis-28361 243 46 são são PROPN bracis-28361 243 47 paulo paulo PROPN bracis-28361 243 48 , , PUNCT bracis-28361 243 49 são são PROPN bracis-28361 243 50 paulo paulo PROPN bracis-28361 243 51 , , PUNCT bracis-28361 243 52 05425 05425 NUM bracis-28361 243 53 - - SYM bracis-28361 243 54 070 070 NUM bracis-28361 243 55 , , PUNCT bracis-28361 243 56 brazil brazil PROPN bracis-28361 243 57 sammuel sammuel PROPN bracis-28361 243 58 ramos ramos PROPN bracis-28361 243 59 silva silva PROPN bracis-28361 243 60 authors author NOUN bracis-28361 243 61 sammuel sammuel PROPN bracis-28361 243 62 ramos ramos PROPN bracis-28361 243 63 silvaview silvaview PROPN bracis-28361 243 64 author author NOUN bracis-28361 243 65 publications publication NOUN bracis-28361 243 66 search search NOUN bracis-28361 243 67 author author NOUN bracis-28361 243 68 on on ADP bracis-28361 243 69 : : PUNCT bracis-28361 243 70 pubmed pubmed PROPN bracis-28361 243 71     SPACE bracis-28361 243 72 google google PROPN bracis-28361 243 73 scholar scholar PROPN bracis-28361 243 74 rodrigo rodrigo PROPN bracis-28361 243 75 silvaview silvaview PROPN bracis-28361 243 76 author author NOUN bracis-28361 243 77 publications publication NOUN bracis-28361 243 78 search search NOUN bracis-28361 243 79 author author NOUN bracis-28361 243 80 on on ADP bracis-28361 243 81 : : PUNCT bracis-28361 243 82 pubmed pubmed PROPN bracis-28361 243 83     SPACE bracis-28361 243 84 google google PROPN bracis-28361 243 85 scholar scholar NOUN bracis-28361 243 86 corresponding correspond VERB bracis-28361 243 87 author author NOUN bracis-28361 243 88 correspondence correspondence NOUN bracis-28361 243 89 to to PART bracis-28361 243 90 sammuel sammuel PROPN bracis-28361 243 91 ramos ramos PROPN bracis-28361 243 92 silva silva PROPN bracis-28361 243 93 . . PUNCT bracis-28361 244 1 editor editor NOUN bracis-28361 244 2 information information NOUN bracis-28361 244 3 editors editor NOUN bracis-28361 244 4 and and CCONJ bracis-28361 244 5 affiliations affiliation NOUN bracis-28361 244 6 federal federal PROPN bracis-28361 244 7 university university PROPN bracis-28361 244 8 of of ADP bracis-28361 244 9 são são PROPN bracis-28361 244 10 carlos carlos PROPN bracis-28361 244 11 , , PUNCT bracis-28361 244 12 são são PROPN bracis-28361 244 13 carlos carlos PROPN bracis-28361 244 14 , , PUNCT bracis-28361 244 15 brazil brazil PROPN bracis-28361 244 16 murilo murilo PROPN bracis-28361 244 17 c. c. PROPN bracis-28361 244 18 naldi naldi PROPN bracis-28361 244 19 centro centro PROPN bracis-28361 244 20 universitario universitario PROPN bracis-28361 244 21 da da PROPN bracis-28361 244 22 fei fei PROPN bracis-28361 244 23 , , PUNCT bracis-28361 244 24 são são PROPN bracis-28361 244 25 bernardo bernardo PROPN bracis-28361 244 26 do do AUX bracis-28361 244 27 campo campo PROPN bracis-28361 244 28 , , PUNCT bracis-28361 244 29 brazil brazil PROPN bracis-28361 244 30 reinaldo reinaldo PROPN bracis-28361 244 31 a. a. PROPN bracis-28361 244 32 c. c. PROPN bracis-28361 244 33 bianchi bianchi PROPN bracis-28361 244 34 rights right NOUN bracis-28361 244 35 and and CCONJ bracis-28361 244 36 permissions permission NOUN bracis-28361 244 37 reprints reprint NOUN bracis-28361 244 38 and and CCONJ bracis-28361 244 39 permissions permission VERB bracis-28361 244 40 copyright copyright NOUN bracis-28361 244 41 information information NOUN bracis-28361 244 42 © © ADP bracis-28361 244 43 2023 2023 NUM bracis-28361 244 44 the the DET bracis-28361 244 45 author(s author(s NOUN bracis-28361 244 46 ) ) PUNCT bracis-28361 244 47 , , PUNCT bracis-28361 244 48 under under ADP bracis-28361 244 49 exclusive exclusive ADJ bracis-28361 244 50 license license NOUN bracis-28361 244 51 to to ADP bracis-28361 244 52 springer springer NOUN bracis-28361 244 53 nature nature PROPN bracis-28361 244 54 switzerland switzerland PROPN bracis-28361 244 55 ag ag PROPN bracis-28361 244 56 about about ADP bracis-28361 244 57 this this DET bracis-28361 244 58 paper paper NOUN bracis-28361 244 59 cite cite VERB bracis-28361 244 60 this this DET bracis-28361 244 61 paper paper NOUN bracis-28361 244 62 silva silva NOUN bracis-28361 244 63 , , PUNCT bracis-28361 244 64 s.r s.r PROPN bracis-28361 244 65 . . PROPN bracis-28361 244 66 , , PUNCT bracis-28361 244 67 silva silva PROPN bracis-28361 244 68 , , PUNCT bracis-28361 244 69 r. r. PROPN bracis-28361 244 70 ( ( PUNCT bracis-28361 244 71 2023 2023 NUM bracis-28361 244 72 ) ) PUNCT bracis-28361 244 73 . . PUNCT bracis-28361 245 1 featgenn featgenn PROPN bracis-28361 245 2 : : PUNCT bracis-28361 245 3 improving improve VERB bracis-28361 245 4 model model NOUN bracis-28361 245 5 performance performance NOUN bracis-28361 245 6 for for ADP bracis-28361 245 7     SPACE bracis-28361 245 8 tabular tabular PROPN bracis-28361 245 9 data datum NOUN bracis-28361 245 10 with with ADP bracis-28361 245 11     SPACE bracis-28361 245 12 correlation correlation NOUN bracis-28361 245 13 - - PUNCT bracis-28361 245 14 based base VERB bracis-28361 245 15 feature feature NOUN bracis-28361 245 16 extraction extraction NOUN bracis-28361 245 17 . . PUNCT bracis-28361 246 1 in in ADP bracis-28361 246 2 : : PUNCT bracis-28361 246 3 naldi naldi PROPN bracis-28361 246 4 , , PUNCT bracis-28361 246 5 m.c m.c PROPN bracis-28361 246 6 . . PROPN bracis-28361 246 7 , , PUNCT bracis-28361 246 8 bianchi bianchi PROPN bracis-28361 246 9 , , PUNCT bracis-28361 246 10 r.a.c r.a.c ADP bracis-28361 246 11 . . PUNCT bracis-28361 246 12 ( ( PUNCT bracis-28361 246 13 eds ed NOUN bracis-28361 246 14 ) ) PUNCT bracis-28361 246 15 intelligent intelligent ADJ bracis-28361 246 16 systems system NOUN bracis-28361 246 17 . . PUNCT bracis-28361 247 1 bracis bracis PROPN bracis-28361 247 2 2023 2023 NUM bracis-28361 247 3 . . PUNCT bracis-28361 248 1 lecture lecture NOUN bracis-28361 248 2 notes note NOUN bracis-28361 248 3 in in ADP bracis-28361 248 4 computer computer NOUN bracis-28361 248 5 science science NOUN bracis-28361 248 6 ( ( PUNCT bracis-28361 248 7 ) ) PUNCT bracis-28361 248 8 , , PUNCT bracis-28361 248 9 vol vol NOUN bracis-28361 248 10 14195 14195 NUM bracis-28361 248 11 . . PUNCT bracis-28361 249 1 springer springer NOUN bracis-28361 249 2 , , PUNCT bracis-28361 249 3 cham cham PROPN bracis-28361 249 4 . . PUNCT bracis-28361 250 1 https://doi.org/10.1007/978-3-031-45368-7_17 https://doi.org/10.1007/978-3-031-45368-7_17 PROPN bracis-28361 250 2 download download NOUN bracis-28361 250 3 citation citation NOUN bracis-28361 250 4 .ris .ris PUNCT bracis-28361 251 1 .enw .enw PROPN bracis-28361 251 2 .bib .bib PUNCT bracis-28361 252 1 doi doi PROPN bracis-28361 252 2 : : PUNCT bracis-28361 252 3 https://doi.org/10.1007/978-3-031-45368-7_17 https://doi.org/10.1007/978-3-031-45368-7_17 PROPN bracis-28361 252 4 published publish VERB bracis-28361 252 5 : : PUNCT bracis-28361 252 6 12 12 NUM bracis-28361 252 7 october october PROPN bracis-28361 252 8 2023 2023 NUM bracis-28361 252 9 publisher publisher NOUN bracis-28361 252 10 name name NOUN bracis-28361 252 11 : : PUNCT bracis-28361 252 12 springer springer NOUN bracis-28361 252 13 , , PUNCT bracis-28361 252 14 cham cham PROPN bracis-28361 252 15 print print PROPN bracis-28361 252 16 isbn isbn PROPN bracis-28361 252 17 : : PUNCT bracis-28361 252 18 978 978 NUM bracis-28361 252 19 - - SYM bracis-28361 252 20 3 3 NUM bracis-28361 252 21 - - PUNCT bracis-28361 252 22 031 031 NUM bracis-28361 252 23 - - PUNCT bracis-28361 252 24 45367 45367 NUM bracis-28361 252 25 - - PUNCT bracis-28361 252 26 0 0 NUM bracis-28361 252 27 online online ADJ bracis-28361 252 28 isbn isbn NOUN bracis-28361 252 29 : : PUNCT bracis-28361 252 30 978 978 NUM bracis-28361 252 31 - - SYM bracis-28361 252 32 3 3 NUM bracis-28361 252 33 - - PUNCT bracis-28361 252 34 031 031 NUM bracis-28361 252 35 - - PUNCT bracis-28361 252 36 45368 45368 NUM bracis-28361 252 37 - - PUNCT bracis-28361 252 38 7 7 NUM bracis-28361 252 39 ebook ebook NOUN bracis-28361 252 40 packages package NOUN bracis-28361 252 41 : : PUNCT bracis-28361 252 42 computer computer NOUN bracis-28361 252 43 sciencecomputer sciencecomputer NOUN bracis-28361 252 44 science science NOUN bracis-28361 252 45 ( ( PUNCT bracis-28361 252 46 r0 r0 NOUN bracis-28361 252 47 ) ) PUNCT bracis-28361 252 48 share share VERB bracis-28361 252 49 this this DET bracis-28361 252 50 paper paper NOUN bracis-28361 252 51 anyone anyone PRON bracis-28361 252 52 you you PRON bracis-28361 252 53 share share VERB bracis-28361 252 54 the the DET bracis-28361 252 55 following follow VERB bracis-28361 252 56 link link NOUN bracis-28361 252 57 with with ADP bracis-28361 252 58 will will AUX bracis-28361 252 59 be be AUX bracis-28361 252 60 able able ADJ bracis-28361 252 61 to to PART bracis-28361 252 62 read read VERB bracis-28361 252 63 this this DET bracis-28361 252 64 content content NOUN bracis-28361 252 65 : : PUNCT bracis-28361 252 66 get get VERB bracis-28361 252 67 shareable shareable ADJ bracis-28361 252 68 linksorry linksorry NOUN bracis-28361 252 69 , , PUNCT bracis-28361 252 70 a a DET bracis-28361 252 71 shareable shareable ADJ bracis-28361 252 72 link link NOUN bracis-28361 252 73 is be AUX bracis-28361 252 74 not not PART bracis-28361 252 75 currently currently ADV bracis-28361 252 76 available available ADJ bracis-28361 252 77 for for ADP bracis-28361 252 78 this this DET bracis-28361 252 79 article article NOUN bracis-28361 252 80 . . PUNCT bracis-28361 253 1 copy copy VERB bracis-28361 253 2 shareable shareable ADJ bracis-28361 253 3 link link NOUN bracis-28361 253 4 to to PART bracis-28361 253 5 clipboard clipboard NOUN bracis-28361 253 6 provided provide VERB bracis-28361 253 7 by by ADP bracis-28361 253 8 the the DET bracis-28361 253 9 springer springer NOUN bracis-28361 253 10 nature nature PROPN bracis-28361 253 11 sharedit sharedit PROPN bracis-28361 253 12 content content NOUN bracis-28361 253 13 - - PUNCT bracis-28361 253 14 sharing share VERB bracis-28361 253 15 initiative initiative NOUN bracis-28361 253 16 keywords keyword NOUN bracis-28361 253 17 automated automate VERB bracis-28361 253 18 feature feature NOUN bracis-28361 253 19 engineering engineering NOUN bracis-28361 253 20 feature feature NOUN bracis-28361 253 21 creation creation NOUN bracis-28361 253 22 correlation correlation NOUN bracis-28361 253 23 - - PUNCT bracis-28361 253 24 based base VERB bracis-28361 253 25 pooling pooling NOUN bracis-28361 253 26 tabular tabular PROPN bracis-28361 253 27 data datum NOUN bracis-28361 253 28 machine machine NOUN bracis-28361 253 29 learning learning NOUN bracis-28361 253 30 publish publish VERB bracis-28361 253 31 with with ADP bracis-28361 253 32 us us PROPN bracis-28361 253 33 policies policy NOUN bracis-28361 253 34 and and CCONJ bracis-28361 253 35 ethics ethic NOUN bracis-28361 253 36 search search NOUN bracis-28361 253 37 search search NOUN bracis-28361 253 38 by by ADP bracis-28361 253 39 keyword keyword NOUN bracis-28361 253 40 or or CCONJ bracis-28361 253 41 author author NOUN bracis-28361 253 42 search search NOUN bracis-28361 253 43 navigation navigation NOUN bracis-28361 253 44 find find VERB bracis-28361 253 45 a a DET bracis-28361 253 46 journal journal NOUN bracis-28361 253 47 publish publish VERB bracis-28361 253 48 with with ADP bracis-28361 253 49 us we PRON bracis-28361 253 50 track track VERB bracis-28361 253 51 your your PRON bracis-28361 253 52 research research NOUN bracis-28361 253 53 discover discover VERB bracis-28361 253 54 content content NOUN bracis-28361 253 55 journals journal NOUN bracis-28361 253 56 a a DET bracis-28361 253 57 - 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