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--- papers:collobert-weston-bottou-2006 [2006/04/18 15:19]
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+++ papers:collobert-weston-bottou-2006 [2007/01/31 14:45] (current)
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 ===== Trading Convexity for Scalability =====
+//Abstract//:
+Convex learning algorithms, such as Support Vector Machines (SVMs), are
+often seen as highly desirable because they offer strong practical
+properties and are amenable to theoretical analysis.  However, in this work
+we show how non-convexity can provide scalability advantages over
+convexity.  We show how concave-convex programming can be applied to produce
+(i) faster SVMs where training errors are no longer support vectors, and
+(ii) much faster Transductive SVMs.
 <box 99% orange>
-Ronan Collobert, Jason Weston and Léon Bottou: Trading Convexity for Scalability,  //Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006)//, IMLS/ICML, 2006.
+Ronan Collobert, Jason Weston and Léon Bottou: **Trading Convexity for Scalability**,  //Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006)//, IMLS/ICML, 2006.
 [[http://leon.bottou.org/publications/djvu/icml-2006a.djvu|icml-2006a.djvu]]
@@ Line 20: / Line 28: @@
     url = {http://leon.bottou.org/papers/collobert-weston-bottou-2006},
   }
+==== Links ====
+  * The [[http://www.kyb.tuebingen.mpg.de/bs/people/fabee/universvm.html|UniverSVM]] software is based on a modified version of the [[:projects:svqp|SVQP2]] optimizer.
+  * About the DC algorithms [[http://lita.sciences.univ-metz.fr/~lethi/DCA.html]]
+  * Home page of [[http://www.kyb.tuebingen.mpg.de/~weston|Jason Weston]]
+  * Home page of [[http://ronan.collobert.com/|Ronan Collobert]]
+  * Home page of [[http://www.kyb.tuebingen.mpg.de/~fabee|Fabian Sinz]]

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