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    ICML
    2009
    IEEE
    109views Machine Learning» more  ICML 2009»
    Regression by dependence minimization and its application to causal inference in additive noise models
    16 years 7 months ago
    Regression by dependence minimization and its application to causal inference in additive noise models
    Download  www.kyb.mpg.de
    Bernhard Schölkopf, Dominik Janzing, Jonas Pe...
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    ICML
    2008
    IEEE
    83views Machine Learning» more  ICML 2008»
    A rate-distortion one-class model and its applications to clustering
    16 years 7 months ago
    A rate-distortion one-class model and its applications to clustering
    Download  www.cis.upenn.edu
    In one-class classification we seek a rule to find a coherent subset of instances similar to a few positive examples in a large pool of instances. The problem can be formulated an...
    Koby Crammer, Partha Pratim Talukdar, Fernando Per...
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    ICML
    2006
    IEEE
    201views Machine Learning» more  ICML 2006»
    Batch mode active learning and its application to medical image classification
    16 years 7 months ago
    Batch mode active learning and its application to medical image classification
    Download  www.cs.caltech.edu
    Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
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    ICML
    2003
    IEEE
    136views Machine Learning» more  ICML 2003»
    Characteristics of Long-term Learning in Soar and its Application to the Utility Problem
    16 years 7 months ago
    Characteristics of Long-term Learning in Soar and its Application to the Utility Problem
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    William G. Kennedy, Kenneth A. De Jong
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    WWW
    2008
    ACM
    139views Internet Technology» more  WWW 2008»
    Ranking refinement and its application to information retrieval
    16 years 6 months ago
    Ranking refinement and its application to information retrieval
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    We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...
    Rong Jin, Hamed Valizadegan, Hang Li
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