Effects of diversity measures on the design of ensemble classifiers by multiobjective genetic fuzzy rule selection with a multi-classifier coding scheme

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5271 LNAI, Issue , 2008, Pages 755-763

  Nojima, Yusuke ^a   Ishibuchi, Hisao ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

Diversity measures; Ensemble classifiers; Genetic fuzzy systems

Indexed keywords

BASE CLASSIFIERS; CODING SCHEME; DIVERSITY MEASURE; DIVERSITY MEASURES; ENSEMBLE CLASSIFIERS; GENETIC FUZZY SYSTEMS; GENETIC-FUZZY; MULTI OBJECTIVE; MULTI-CLASSIFIER; RULE SELECTION;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; FUZZY RULES; FUZZY SYSTEMS; MULTIOBJECTIVE OPTIMIZATION;

LEARNING SYSTEMS;

EID: 70350542555     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87656-4_93     Document Type: Conference Paper

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