id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-4553	Ashutosh Mishra	Probabilistic Perspective of Jungck Contractive Situations in Machine Learning	2025	11	.pdf	application/pdf	4424	260	55	This work explores the applicability of probabilistic metric spaces in machine learning, with a particular focus on the Jungck contractive notion. The Jungck contraction theorem extends the classical Banach contraction principle to the setting of probabilistic metric spaces.	cache/cana-4553.pdf	txt/cana-4553.txt