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A study of the effect of different types of noise on the precision of supervised learning techniques.

, , and . Artif. Intell. Rev., 33 (4): 275-306 (2010)

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Modeling selection pressure in XCS for proportionate and tournament selection., , , , and . GECCO, page 1846-1853. ACM, (2007)Substructural Surrogates for Learning Decomposable Classification Problems., , , and . IWLCS, volume 4998 of Lecture Notes in Computer Science, page 235-254. Springer, (2007)Class imbalance problem in UCS classifier system: fitness adaptation., and . Congress on Evolutionary Computation, page 604-611. IEEE, (2005)Evolution of Interesting Association Rules Online with Learning Classifier Systems., and . IWLCS, volume 6471 of Lecture Notes in Computer Science, page 21-37. Springer, (2009)Substructrual surrogates for learning decomposable classification problems: implementation and first results., , , and . GECCO (Companion), page 2875-2882. ACM, (2007)Fuzzy-UCS: preliminary results., , and . GECCO (Companion), page 2871-2874. ACM, (2007)A study of the effect of different types of noise on the precision of supervised learning techniques., , and . Artif. Intell. Rev., 33 (4): 275-306 (2010)New Crossover Operator for Evolutionary Rule Discovery in XCS., , and . HIS, page 867-872. IEEE Computer Society, (2008)First approach toward on-line evolution of association rules with learning classifier systems., , and . GECCO (Companion), page 2031-2038. ACM, (2008)New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Models.. University Ramon Llull, Spain, (2008)