Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
暂无分享,去创建一个
[1] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[2] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[3] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[4] Hisao Ishibuchi,et al. Voting in fuzzy rule-based systems for pattern classification problems , 1999, Fuzzy Sets Syst..
[5] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[6] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[7] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[8] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[9] G DietterichThomas. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees , 2000 .
[10] Tapio Elomaa,et al. General and Efficient Multisplitting of Numerical Attributes , 1999, Machine Learning.
[11] Hisao Ishibuchi,et al. Three-objective genetics-based machine learning for linguistic rule extraction , 2001, Inf. Sci..
[12] William B. Langdon. A Hybrid Genetic Programming Neural Network Classifier for Use in Drug Discovery , 2002, HIS.
[13] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[14] Lakhmi C. Jain,et al. Designing classifier fusion systems by genetic algorithms , 2000, IEEE Trans. Evol. Comput..
[15] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[16] Hisao Ishibuchi,et al. Selecting fuzzy if-then rules for classification problems using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..
[17] KohaviRon,et al. An Empirical Comparison of Voting Classification Algorithms , 1999 .
[18] Ching Y. Suen,et al. Optimal combinations of pattern classifiers , 1995, Pattern Recognit. Lett..
[19] Hisao Ishibuchi,et al. Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems , 2003, EMO.
[20] Hisao Ishibuchi,et al. Effect of rule weights in fuzzy rule-based classification systems , 2001, IEEE Trans. Fuzzy Syst..
[21] Eric Bauer,et al. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.
[22] Hisao Ishibuchi,et al. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems , 1997, Fuzzy Sets Syst..
[23] Antonio González Muñoz,et al. SLAVE: a genetic learning system based on an iterative approach , 1999, IEEE Trans. Fuzzy Syst..
[24] Hisao Ishibuchi,et al. Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms , 2002, GECCO.
[25] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[26] Sung-Bae Cho,et al. Combining multiple neural networks by fuzzy integral for robust classification , 1995, IEEE Trans. Syst. Man Cybern..