Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm

DOI10.1007/s10994-007-5039-1zbMath1470.68138OpenAlexW1988296307MaRDI QIDQ1009249

Yuanqing Li, Cuntai Guan

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-007-5039-1

zbMATH Keywords

model selectionfeature extractionRayleigh coefficientsemi-supervised learningsupport vector machine (SVM)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

General twin support vector machine with pinball loss function

Uses Software

• UCI-ml
• LIBSVM

Cites Work

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• 10.1162/153244302760185243
• An Extended EM Algorithm for Joint Feature Extraction and Classification in Brain-Computer Interfaces
• 10.1162/153244303765208403