Fine-tuning of support vector machine parameters using racing algorithms

22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings

Volumn , Issue , 2014, Pages 325-330

  Miranda, Péricles B C ^a   Silva, Ricardo M ^a   Prudêncio, Ricardo B ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ITERATIVE METHODS; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES;

CANDIDATE MODELS; DEFAULT PARAMETERS; FINE TUNING; PARTICLE SWARM OPTIMIZATION TECHNIQUE; RACING ALGORITHMS; SUPPORT VECTOR;

PARAMETER ESTIMATION;

EID: 84962031600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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