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    » Ensemble Methods in Machine Learning
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    ML
    2011
    ACM
    152views Machine Learning» more  ML 2011»
    Characterizing reinforcement learning methods through parameterized learning problems
    14 years 4 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
    15 years 6 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
    15 years 5 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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    87
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    ALT
    2006
    Springer
    108views Machine Learning» more  ALT 2006»
    Solving Semi-infinite Linear Programs Using Boosting-Like Methods
    15 years 10 months ago
    Solving Semi-infinite Linear Programs Using Boosting-Like Methods
    Download  www.fml.tuebingen.mpg.de
    Gunnar Rätsch
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    68
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    ICML
    2009
    IEEE
    117views Machine Learning» more  ICML 2009»
    Stochastic methods for l1 regularized loss minimization
    15 years 8 months ago
    Stochastic methods for l1 regularized loss minimization
    Download  www.cs.mcgill.ca
    Shai Shalev-Shwartz, Ambuj Tewari
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