Télécharger le livre :  Model Selection and Error Estimation in a Nutshell
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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
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94,94
Télécharger le livre :  Recent Advances in Big Data and Deep Learning
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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
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147,69