Application of global optimization methods to model and feature selection

DOI10.1016/j.patcog.2012.04.015zbMath1242.68207OpenAlexW1971437934MaRDI QIDQ437761

Sébastien Paris, Abderrahmane Boubezoul

Publication date: 19 July 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.04.015

zbMATH Keywords

support vector machinesfeature selectionparticle swarm optimizationcross-entropy methodhyper-parameters optimization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonconvex programming, global optimization (90C26) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Global optimization issues in deep network regression: an overview, Feature selection based on meta-heuristics for biomedicine

Uses Software

• DistAl
• UCI-ml
• LIBSVM

Cites Work

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