Feature selection via Boolean independent component analysis

DOI10.1016/J.INS.2009.07.002zbMath1183.68458OpenAlexW2038278405MaRDI QIDQ845317

Simone Bassis, Andrea Brega, Bruno Apolloni

Publication date: 28 January 2010

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2009.07.002

zbMATH Keywords

classificationclusteringfeature extractionDNA microarrayfeature selectionBoolean independent component analysisSVM ensemble

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• C4.5

Cites Work

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• The puzzle of granular computing
• Wrappers for feature subset selection
• The weighted majority algorithm
• Constructing support vector machine ensemble.
• Principal component analysis.
• Artificial Intelligence and Soft Computing - ICAISC 2004
• 10.1162/153244303322753616
• Machine Learning: ECML 2004
• Convex Analysis
• Gene selection for cancer classification using support vector machines

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