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    » On Bootstrapping the ROC Curve
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    NIPS
    2004
    109views Information Technology» more  NIPS 2004»
    A Large Deviation Bound for the Area Under the ROC Curve
    13 years 8 months ago
    A Large Deviation Bound for the Area Under the ROC Curve
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    The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...
    Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan...
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    ROCAI
    2004
    Springer
    325views Artificial Intelligence» more  ROCAI 2004»
    Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
    14 years 24 days ago
    Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
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    We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
    Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
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    ECIR
    2009
    Springer
    285views Information Technology» more  ECIR 2009»
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    14 years 4 months ago
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    Download  www.cs.cmu.edu
    Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
    Pinar Donmez, Jaime G. Carbonell
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    ALT
    2009
    Springer
    136views Machine Learning» more  ALT 2009»
    Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm
    14 years 2 months ago
    Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm
    Download  www.cmla.ens-cachan.fr
    Stéphan Clémençon, Nicolas Va...
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    ICDM
    2006
    IEEE
    182views Data Mining» more  ICDM 2006»
    Active Learning to Maximize Area Under the ROC Curve
    14 years 1 months ago
    Active Learning to Maximize Area Under the ROC Curve
    Download  www.cse.unl.edu
    In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
    Matt Culver, Kun Deng, Stephen D. Scott
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