Efficient model selection for sparse least-square SVMs

DOI10.1155/2013/712437zbMath1299.62053OpenAlexW2068003938WikidataQ59028454 ScholiaQ59028454MaRDI QIDQ474543

Huanlai Xing, Suxiang Qian, Xiao-Lei Xia, Xueqin Liu

Publication date: 24 November 2014

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/712437

Mathematics Subject Classification ID

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

Uses Software

• LIBSVM
• LS-SVMlab
• RSVM

Cites Work

• A novel sparse least squares support vector machines
• Weighted least squares support vector machines: robustness and sparse approximation
• Chaos control using least-squares support vector machines
• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• Data mining with sparse grids
• Kernel matching pursuit