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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    12 years 10 months ago
    Characterizing reinforcement learning methods through parameterized learning problems
    Download  www.cs.utexas.edu
    Shivaram Kalyanakrishnan, Peter Stone
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    ECML
    1998
    Springer
    92views Machine Learning» more  ECML 1998»
    A General Convergence Method for Reinforcement Learning in the Continuous Case
    13 years 12 months ago
    A General Convergence Method for Reinforcement Learning in the Continuous Case
    Download  sequel.futurs.inria.fr
    Rémi Munos
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    KDD
    2010
    ACM
    224views Data Mining» more  KDD 2010»
    Ensemble pruning via individual contribution ordering
    13 years 11 months ago
    Ensemble pruning via individual contribution ordering
    Download  www.cs.uvm.edu
    An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
    Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
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    ALT
    2006
    Springer
    108views Machine Learning» more  ALT 2006»
    Solving Semi-infinite Linear Programs Using Boosting-Like Methods
    14 years 4 months ago
    Solving Semi-infinite Linear Programs Using Boosting-Like Methods
    Download  www.fml.tuebingen.mpg.de
    Gunnar Rätsch
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    ICML
    2009
    IEEE
    117views Machine Learning» more  ICML 2009»
    Stochastic methods for l1 regularized loss minimization
    14 years 2 months ago
    Stochastic methods for l1 regularized loss minimization
    Download  www.cs.mcgill.ca
    Shai Shalev-Shwartz, Ambuj Tewari
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