Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System

Jaume Bacardit, Josep Maria Garrell i Guiu. Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System. In Tim Kovacs, Xavier LlorĂ , Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers. Volume 4399 of Lecture Notes in Computer Science, pages 59-79, Springer, 2005. [doi]

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