Télécharger le livre :  Model Selection and Error Estimation in a Nutshell

How can we select the best performing data-driven model?How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper...
Editeur : Springer
Parution : 2019-07-17
Collection : Modeling and Optimization in Science and Technologies
Format(s) : PDF, ePub
94,94

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Télécharger le livre :  Recent Advances in Big Data and Deep Learning

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the...
Editeur : Springer
Parution : 2019-04-02
Collection : Proceedings of the International Neural Networks Society
Format(s) : PDF, ePub
147,69

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