Gradient-based kernel method for feature extraction and variable selection
Advances in Neural Information Processing Systems
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sg-nus-scholar.10635-1054722015-01-10T19:52:06Z Gradient-based kernel method for feature extraction and variable selection Fukumizu, K. Leng, C. STATISTICS & APPLIED PROBABILITY Advances in Neural Information Processing Systems 3 2114-2122 2014-10-28T05:16:37Z 2014-10-28T05:16:37Z 2012 Conference Paper Fukumizu, K.,Leng, C. (2012). Gradient-based kernel method for feature extraction and variable selection. Advances in Neural Information Processing Systems 3 : 2114-2122. ScholarBank@NUS Repository. 9781627480031 10495258 http://scholarbank.nus.edu.sg/handle/10635/105472 NOT_IN_WOS Scopus |
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Advances in Neural Information Processing Systems |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Fukumizu, K. Leng, C. |
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Conference or Workshop Item |
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Fukumizu, K. Leng, C. |
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Fukumizu, K. Leng, C. Gradient-based kernel method for feature extraction and variable selection |
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Fukumizu, K. |
title |
Gradient-based kernel method for feature extraction and variable selection |
title_short |
Gradient-based kernel method for feature extraction and variable selection |
title_full |
Gradient-based kernel method for feature extraction and variable selection |
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Gradient-based kernel method for feature extraction and variable selection |
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Gradient-based kernel method for feature extraction and variable selection |
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gradient-based kernel method for feature extraction and variable selection |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/105472 |
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