Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Nojima, Yusuke ^a   Mihara, Shingo ^a   Ishibuchi, Hisao ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION AREA; BASE CLASSIFIERS; COMPUTATION LOADS; COMPUTATIONAL EXPERIMENT; DISTRIBUTED IMPLEMENTATION; ENSEMBLE CLASSIFIERS; FITNESS FUNCTIONS; GENERALIZATION ABILITY; GENETIC-FUZZY; GENETICS BASED MACHINE LEARNING; KNOWLEDGE EXTRACTION; LARGE DATASETS; OVERFITTING; RESEARCH ISSUES; ROTATION FREQUENCIES; RULE SELECTION; SPEED-UPS; SUB-POPULATIONS; TRAINING DATA;

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; FUZZY RULES; LEARNING SYSTEMS;

POPULATION STATISTICS;

EID: 79959464048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586393     Document Type: Conference Paper

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