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    CIS
    2006
    Springer
    110views Applied Computing» more  CIS 2006»
    Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm
    15 years 8 months ago
    Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm
    Download  www.comp.hkbu.edu.hk
    Yiu-ming Cheung, Hong Zeng
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    KES
    2000
    Springer
    99views Information Technology» more  KES 2000»
    Fuzzy reasoning model of facial selection and its applications
    15 years 8 months ago
    Fuzzy reasoning model of facial selection and its applications
    Download  visgraph.cs.ust.hk
    T. Yamashita, T. Ichimura, E. Tazaki, M. Takahashi
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    ANNES
    1995
    268views Neural Networks» more  ANNES 1995»
    Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm
    15 years 8 months ago
    Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm
    Download  www.cs.waikato.ac.nz
    Ageneticalgorithmselectedcombinationsofattributesfor amachinelearningsystem.Thealgorithmused90Bach choralemelodiestotrainmodelsandrandomlyselectedsets of10choralesforevaluation.Co...
    Mark A. Hall
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    COLT
    1995
    Springer
    106views Machine Learning» more  COLT 1995»
    An Experimental and Theoretical Comparison of Model Selection Methods
    15 years 8 months ago
    An Experimental and Theoretical Comparison of Model Selection Methods
    Download  www.cis.upenn.edu
    Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, D...
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    AAAI
    2008
    207views Intelligent Agents» more  AAAI 2008»
    Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
    15 years 6 months ago
    Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
    Download  sugiyama-www.cs.titech.ac.jp
    Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
    Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
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