Automatic parameter settings for the PROAFTN classifier using hybrid particle swarm optimization

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

Volumn 6085 LNAI, Issue , 2010, Pages 184-195

  Al Obeidat, Feras ^a   Belacel, Nabil ^a   Carretero, Juan A ^a   Mahanti, Prabhat ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Knowledge discovery; Multiple criteria classification; Particle swarm optimization; PROAFTN; Reduced variable neighborhood search; Supervised learning

Indexed keywords

KNOWLEDGE DISCOVERY; MULTIPLE CRITERIA; MULTIPLE CRITERIA CLASSIFICATION; PROAFTN; VARIABLE NEIGHBORHOOD SEARCH;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DECISION MAKING; DECISION THEORY; LEARNING ALGORITHMS; PARAMETER ESTIMATION; SUPERVISED LEARNING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77953767879     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13059-5_19     Document Type: Conference Paper

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