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    IWCLS
    2007
    Springer
    129views Machine Learning» more  IWCLS 2007»
    Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
    13 years 11 months ago
    Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
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    Jaume Bacardit, Natalio Krasnogor
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    IWCLS
    2007
    Springer
    125views Machine Learning» more  IWCLS 2007»
    Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets
    13 years 11 months ago
    Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets
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    Charalambos Ioannides, Will N. Browne
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    IWCLS
    2007
    Springer
    106views Machine Learning» more  IWCLS 2007»
    Substructural Surrogates for Learning Decomposable Classification Problems
    13 years 11 months ago
    Substructural Surrogates for Learning Decomposable Classification Problems
    Download  www.salle.url.edu
    Albert Orriols-Puig, Kumara Sastry, David E. Goldb...
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    IWCLS
    2007
    Springer
    123views Machine Learning» more  IWCLS 2007»
    A Principled Foundation for LCS
    13 years 11 months ago
    A Principled Foundation for LCS
    Download  www.bcs.rochester.edu
    In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
    Jan Drugowitsch, Alwyn Barry
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    IWCLS
    2007
    Springer
    176views Machine Learning» more  IWCLS 2007»
    On Lookahead and Latent Learning in Simple LCS
    13 years 11 months ago
    On Lookahead and Latent Learning in Simple LCS
    Download  www.psychologie.uni-wuerzburg.de
    Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
    Larry Bull
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