Incremental relevance sample-feature machine: a fast marginal likelihood maximization approach for joint feature selection and classification

DOI10.1016/j.patcog.2016.06.028zbMath1414.68067OpenAlexW2468540678MaRDI QIDQ2417835

Hamid Sheikhzadeh, Yalda Mohsenzadeh, Sobhan Nazari

Publication date: 29 May 2019

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2016.06.028

zbMATH Keywords

Bayesian inferencesparse Bayesian learningembedded feature selection methodsfast marginal likelihood maximizationrelevance sample-feature machine (RSFM)

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SHOGUN

Cites Work

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• Combining feature spaces for classification
• Optimal feature selection for support vector machines
• 10.1162/15324430152748236
• 10.1162/153244303322753616

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