Capa do artigo Dealing With Imbalanced And Weakly Labelled Data In Machine Learning Using Fuzzy And Rough Set Methods
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Dealing With Imbalanced And Weakly Labelled Data In Machine Learning Using Fuzzy And Rough Set Methods eBook

by Sarah Vluymans
language: english
Publisher: Springer International Publishing, November of 2018 ‧
118,59€
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This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data.

Dealing With Imbalanced And Weakly Labelled Data In Machine Learning Using Fuzzy And Rough Set Methods

by Sarah Vluymans

Property Description
ISBN: 9783030046637
Publisher: Springer International Publishing
Release Date: November of 2018
Language: English
Format: eBook
File Format and Compatibility:
Collection: Studies In Computational Intelligence
Categories: eBooks in English > Engineering > General Engineering
eBooks in English > Computing > Other Applications
EAN: 9783030046637
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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