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    » Active Learning to Maximize Area Under the ROC Curve
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    ICDM
    2006
    IEEE
    182views Data Mining» more  ICDM 2006»
    Active Learning to Maximize Area Under the ROC Curve
    13 years 11 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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    IBPRIA
    2009
    Springer
    153views Pattern Recognition» more  IBPRIA 2009»
    Score Fusion by Maximizing the Area under the ROC Curve
    13 years 9 months ago
    Score Fusion by Maximizing the Area under the ROC Curve
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    Information fusion is currently a very active research topic aimed at improving the performance of biometric systems. This paper proposes a novel method for optimizing the paramete...
    Mauricio Villegas, Roberto Paredes
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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
    13 years 10 months ago
    Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
    Download  www.mpi-inf.mpg.de
    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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    SDM
    2007
    SIAM
    130views Data Mining» more  SDM 2007»
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
    13 years 6 months ago
    Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
    Download  siam.org
    Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
    Henrik Boström
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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 2 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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