Information-Theoretic Stability and Generalization

Autor:	Alexander Rakhlin, Maxim Raginsky, Aolin Xu
Rok vydání:	2021
Předmět:	Computer science Sample complexity Generalization business.industry Vapnik–Chervonenkis theory Supervised learning Stability (learning theory) Unsupervised learning Artificial intelligence business
DOI:	10.1017/9781108616799.011
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::62a3eff6cb2afb80bb5e9be1333e6a20 https://doi.org/10.1017/9781108616799.011 Zobrazit plný text záznamu