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--- papers:bakir-bottou-weston-2005 [2006/04/18 17:31]
leonb
+++ papers:bakir-bottou-weston-2005 [2007/07/24 19:11]
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 ===== Breaking SVM Complexity with Cross-Training =====
+//Abstract//:
 We propose to selectively remove examples from the training set using
 probabilistic estimates related to editing algorithms
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 <box 99% orange>
-Gökhan Bakir, Léon Bottou and Jason Weston: Breaking SVM Complexity with Cross-Training,  //Advances in Neural Information Processing Systems//, 17:81-88, Edited by Lawrence Saul, Yair Weiss and Léon Bottou, MIT Press, 2005.
+Gökhan Bakir, Léon Bottou and Jason Weston: **Breaking SVM Complexity with Cross-Training**,  //Advances in Neural Information Processing Systems//, 17:81-88, Edited by Lawrence Saul, Yair Weiss and Léon Bottou, MIT Press, 2005.
 [[http://leon.bottou.org/publications/djvu/nips-2004e.djvu|nips-2004e.djvu]]
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-  @inproceedings{bakir-bottou-weston-2005,
+  @incollection{bakir-bottou-weston-2005,
     author = {Bak{\i}r, G\"{o}khan and Bottou, L\'{e}on and Weston, Jason},
     title = {Breaking SVM Complexity with Cross-Training},
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 ==== Notes ====
-Better solutions for this problem are discussed in
+**Much better** solutions for this problem are discussed in
 [[bordes-ertekin-weston-bottou-2005|(Bordes et al., 2006)]]
 and [[collobert-weston-bottou-2006|(Collobert et al., 2006)]].