Genetic-based machine learning systems are competitive for pattern recognition
作者： Albert Orriols-Puig , Jorge Casillas , Ester Bernadó-Mansilla
DOI: 10.1007/S12065-008-0013-9
关键词:
摘要: … non-evolutionary, highly-used machine learning techniques has only been partially studied. … the most influential machine learning techniques that belong to different learning paradigms …
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sci-hub.se 参考文章(103)
F. J. Ferrer-Troyano, D. S. Rodríguez-Baena, J. S. Aguilar-Ruiz, J. C. Riquelme, R. Giráldez, Discretization oriented to Decision Rules Generation ,(2001)
Jaume Bacardit Peñarroya, Pittsburgh genetic-based machine learning in the data mining era: representations, generalization, and run-time Universitat Ramon Llull. ,(2004)
Pierre Bonelli, Alexandre Parodi, An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains. ICGA-91. pp. 288- 295 ,(1991)
Xavier Llorà, Stewart W. Wilson, Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS Genetic and Evolutionary Computation – GECCO 2004. pp. 797- 809 ,(2004) , 10.1007/978-3-540-24855-2_94
John H. Holland, Adaptation in natural and artificial systems ,(1992)
Ronald A. Fisher, Statistical Methods and Scientific Inference ,(1973)
Chunsheng Fu, Lawrence Davis, A Modified Classifier System Compaction Algorithm genetic and evolutionary computation conference. pp. 920- 925 ,(2002)
Ester Bernadó, Xavier Llorà, Josep M. Garrell, XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems. pp. 115- 132 ,(2001) , 10.1007/3-540-48104-4_8
John C. Platt, Fast training of support vector machines using sequential minimal optimization Advances in kernel methods. pp. 185- 208 ,(1999)