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    ICANN
    2007
    Springer
    78views Neural Networks» more  ICANN 2007»
    Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network
    15 years 10 months ago
    Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural Network
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    Marek Grochowski, Wlodzislaw Duch
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    98
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    AMAI
    2004
    Springer
    133views Artificial Intelligence» more  AMAI 2004»
    Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning
    15 years 9 months ago
    Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning
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    William D. Smart
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    GECCO
    2004
    Springer
    106views Optimization» more  GECCO 2004»
    Run Transferable Libraries - Learning Functional Bias in Problem Domains
    15 years 9 months ago
    Run Transferable Libraries - Learning Functional Bias in Problem Domains
    Download  www.cs.york.ac.uk
    Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
    Maarten Keijzer, Conor Ryan, Mike Cattolico
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    89
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    GECCO
    2003
    Springer
    98views Optimization» more  GECCO 2003»
    Wise Breeding GA via Machine Learning Techniques for Function Optimization
    15 years 9 months ago
    Wise Breeding GA via Machine Learning Techniques for Function Optimization
    Download  www.cs.york.ac.uk
    Xavier Llorà, David E. Goldberg
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    FOCS
    1998
    IEEE
    86views Theoretical Computer Science» more  FOCS 1998»
    On Learning Monotone Boolean Functions
    15 years 8 months ago
    On Learning Monotone Boolean Functions
    Download  www.cs.cmu.edu
    Avrim Blum, Carl Burch, John Langford
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