Saliency analysis of support vector machines for feature selection
Neural Network World
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sg-nus-scholar.10635-612582015-01-29T07:21:04Z Saliency analysis of support vector machines for feature selection Tay, F.E.H. Cao, L.J. MECHANICAL ENGINEERING Feature selection Saliency analysis Structural risk minimization principle Support vector machines Neural Network World 11 2 153-166 NNWOF 2014-06-17T06:32:55Z 2014-06-17T06:32:55Z 2001 Article Tay, F.E.H.,Cao, L.J. (2001). Saliency analysis of support vector machines for feature selection. Neural Network World 11 (2) : 153-166. ScholarBank@NUS Repository. 12100552 http://scholarbank.nus.edu.sg/handle/10635/61258 NOT_IN_WOS Scopus |
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Feature selection Saliency analysis Structural risk minimization principle Support vector machines |
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Feature selection Saliency analysis Structural risk minimization principle Support vector machines Tay, F.E.H. Cao, L.J. Saliency analysis of support vector machines for feature selection |
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Neural Network World |
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MECHANICAL ENGINEERING |
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MECHANICAL ENGINEERING Tay, F.E.H. Cao, L.J. |
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Article |
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Tay, F.E.H. Cao, L.J. |
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Tay, F.E.H. |
title |
Saliency analysis of support vector machines for feature selection |
title_short |
Saliency analysis of support vector machines for feature selection |
title_full |
Saliency analysis of support vector machines for feature selection |
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Saliency analysis of support vector machines for feature selection |
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Saliency analysis of support vector machines for feature selection |
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saliency analysis of support vector machines for feature selection |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/61258 |
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