Fast and memory ecient AUC-ROC approximation in Stream Learning

Autor: Albakour, Subhy, Manine, Alain-Pierre, Alphonse, Erick

Publikováno v: Actes CNIA 2021
CNIA 2021 : Conférence Nationale en Intelligence Artificielle
CNIA 2021 : Conférence Nationale en Intelligence Artificielle, Jun 2021, Bordeaux (en ligne), France. pp 68-75

International audience; Machine Learning applied to never-ending data streams has unique resource-consumption constraints that require processing one data-point at a time without storing. Much research has been devoted to develop algorithms that lear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::521f2bb1e681f05ad57d5313e9c9b101
https://hal.archives-ouvertes.fr/hal-03321231/document