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papers:gasso-2010 [2010/12/28 12:03]
leonb
papers:gasso-2010 [2011/10/12 20:24] (current)
leonb [Notes]
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 <box 99% orange> <box 99% orange>
-Gilles Gasso, Aristidis Pappaioannou, Marina Spivak and Léon Bottou:  **Batch and online learning algorithms for nonconvex Neyman-Pearson classification**,  //ACM Transaction on Intelligent System and Technologies//, (): .+Gilles Gasso, Aristidis Pappaioannou, Marina Spivak and Léon Bottou:  **Batch and online learning algorithms for nonconvex Neyman-Pearson classification**,  //ACM Transaction on Intelligent System and Technologies//, 2(3), 2011.
  
 Preprint: Preprint:
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     title = {Batch and online learning algorithms for nonconvex {Neyman-Pearson} classification},     title = {Batch and online learning algorithms for nonconvex {Neyman-Pearson} classification},
     journal = {ACM Transaction on Intelligent System and Technologies},     journal = {ACM Transaction on Intelligent System and Technologies},
-    note = {to appear.},+    volume = {2}, 
 +    number = {3}, 
 +    year = {2011},
     url = {http://leon.bottou.org/papers/gasso-2010},     url = {http://leon.bottou.org/papers/gasso-2010},
   }   }
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 The paper gives two algorithm that perform very well in practice The paper gives two algorithm that perform very well in practice
 and scale significantly better than the alternatives. and scale significantly better than the alternatives.
- 
 The appendix gives a number of theoretical results The appendix gives a number of theoretical results
 about duality in nonconvex optimization problems. about duality in nonconvex optimization problems.
papers/gasso-2010.1293555822.txt.gz · Last modified: 2010/12/28 12:03 by leonb

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