http://mireilleblayfornarino.i3s.unice.fr/ 2026-05-09T07:42:50+00:00 http://mireilleblayfornarino.i3s.unice.fr/ http://mireilleblayfornarino.i3s.unice.fr/lib/exe/fetch.php?media=favicon.ico text/html 2019-05-10T18:40:31+00:00 Anonymous (anonymous@undisclosed.example.com) http://mireilleblayfornarino.i3s.unice.fr/doku.php?id=students:phd_2019&rev=1557513631&do=diff Meta-learning in a Portfolio of Machine Learning Workflows By Mireille Blay-Fornarino and Frédéric Precioso Recent advances in Machine Learning (ML) have brought new solutions for the problems of prediction, decision, and identification. ML is impacting almost all domains of science or industry but determining the right ML workflow for a given problem remains a key question. To allow not only experts in the field to benefit from ML potential, last years have seen an increasing effort from the… text/html 2019-09-30T09:45:32+00:00 Anonymous (anonymous@undisclosed.example.com) http://mireilleblayfornarino.i3s.unice.fr/doku.php?id=students:phd_2020&rev=1569836732&do=diff Eléménts à détailler.... Algorithmes : Il existe différentes sortes d'algorithmes impliqués dans un pipeline de ML. Certains préparent les données, nous les appellerons préprocesseurs et d'autres construisent des modèles de ML, nous les appellerons algorithmes d'apprentissage; text/html 2017-05-28T18:03:03+00:00 Anonymous (anonymous@undisclosed.example.com) http://mireilleblayfornarino.i3s.unice.fr/doku.php?id=students:phd_mlws&rev=1495994583&do=diff Machine Learning Workflow System This subject is proposed as part of the ROCKFlows project. Context For many years, Machine Learning research has been focusing on designing new algorithms for solving similar kinds of problem instances (Kotthoff, 2016). However, Researchers have long ago recognized that a single algorithm will not give the best performance across all problem instances, e.g. the No-Free-Lunch-Theorem (Wolpert, 1996) states that the best classifier will not be the same on every …