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    IWCLS
    2007
    Springer
    129views Machine Learning» more  IWCLS 2007»
    Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System
    14 years 8 days 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
    14 years 8 days 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
    14 years 8 days ago
    Substructural Surrogates for Learning Decomposable Classification Problems
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    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
    14 years 8 days 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
    14 years 8 days 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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