A PSO-based framework for dynamic SVM model selection

Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

Volumn , Issue , 2009, Pages 1227-1234

  Kapp, Marcelo N ^a   Sabourin, Robert ^a   Maupin, Patrick ^b  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

Author keywords

Dynamic optimization; Model selection; Particle swarm optimization; Support Vector Machines

Indexed keywords

COMPUTATIONAL TIME; DYNAMIC OPTIMIZATION; DYNAMIC OPTIMIZATION MODELS; GENERALIZATION ERROR; GRID-SEARCH METHOD; HYPER-PARAMETER; MODEL SELECTION; MODEL SELECTION PROBLEM; OPTIMAL SELECTION; PARAMETERIZED MODEL; PERFORMANCE MEASURE; POOR PERFORMANCE; POTENTIAL SOLUTIONS; RESEARCH COMMUNITIES; SUPPORT VECTOR; SVM MODEL; SWARM INTELLIGENCE; TRAINING DATA SETS;

CELLULAR AUTOMATA; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); VECTORS;

SUPPORT VECTOR MACHINES;

EID: 72749099774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1569901.1570066     Document Type: Conference Paper

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