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    TIT
    1998
    123views more  TIT 1998»
    The Minimum Description Length Principle in Coding and Modeling
    13 years 4 months ago
    The Minimum Description Length Principle in Coding and Modeling
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    —We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
    Andrew R. Barron, Jorma Rissanen, Bin Yu
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    NN
    2006
    Springer
    127views Neural Networks» more  NN 2006»
    The asymptotic equipartition property in reinforcement learning and its relation to return maximization
    13 years 4 months ago
    The asymptotic equipartition property in reinforcement learning and its relation to return maximization
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    We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
    Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
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