Design and Analysis of Experiments: A Challenge Approach in Teaching

Autor:	Pavao, Adrien, Kalainathan, Diviyan, Sun-Hosoya, Lisheng, Bennett, Kristen, Guyon, Isabelle
Přispěvatelé:	Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), TAckling the Underspecified (TAU), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Rensselaer Polytechnic Institute (RPI), Chalearn, The project was funded in part by ChaLearn, Université Paris-Saclay 'big data' chair of Isabelle Guyon, the EU project HADACA (EIT Health) and the United Health Foundation (INCITE project, RPI, New York).
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] ComputingMilieux_MISCELLANEOUS [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Zdroj:	NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Popis:	International audience
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ddd3276f17d14f779bbde93d49ce54db https://hal.inria.fr/hal-02415639/document Zobrazit plný text záznamu