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Citation
Marco Barreno, Alvaro Cardenas, Doug Tygar. "Optimal ROC for a Combination of Classifiers". Advances in Neural Information Processing Systems (NIPS) 20, 2008, January, 2008.

Abstract
We present a new analysis for the combination of binary classifiers. Our analysis makes use of the Neyman-Pearson lemma as a theoretical basis to analyze combinations of classifiers. We give a method for finding the optimal decision rule for a combination of classifiers and prove that it has the optimal ROC curve. We show how our method generalizes and improves previous work on combining classifiers and generating ROC curves.

Electronic downloads

• http://www.eecs.berkeley.edu/~cardenas/Papers/nips2007.pdf

• HTML

  Marco Barreno, Alvaro Cardenas, Doug Tygar. <a
  href="http://www.truststc.org/pubs/320.html"
  >Optimal ROC for a Combination of Classifiers</a>,
  Advances in Neural Information Processing Systems (NIPS) 20,
  2008, January, 2008.

• Plain text

  Marco Barreno, Alvaro Cardenas, Doug Tygar. "Optimal
  ROC for a Combination of Classifiers". Advances in
  Neural Information Processing Systems (NIPS) 20, 2008,
  January, 2008.

• BibTeX

  @inproceedings{BarrenoCardenasTygar08_OptimalROCForCombinationOfClassifiers,
      author = {Marco Barreno and Alvaro Cardenas and Doug Tygar},
      title = {Optimal ROC for a Combination of Classifiers},
      booktitle = {Advances in Neural Information Processing Systems
                (NIPS) 20, 2008},
      month = {January},
      year = {2008},
      abstract = {We present a new analysis for the combination of
                binary classifiers. Our analysis makes use of the
                Neyman-Pearson lemma as a theoretical basis to
                analyze combinations of classifiers. We give a
                method for finding the optimal decision rule for a
                combination of classifiers and prove that it has
                the optimal ROC curve. We show how our method
                generalizes and improves previous work on
                combining classifiers and generating ROC curves.},
      URL = {http://www.truststc.org/pubs/320.html}
  }
  

Posted by Alvaro Cardenas on 13 Mar 2008.
Groups: trust
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