Function approximation with LWPR and XCSF: A comparative study

Evolutionary Intelligence

Volumn 5, Issue 2, 2012, Pages 103-116

  Stalph, Patrick O ^a   Rubinsztajn, Jérémie ^b   Sigaud, Olivier ^b   Butz, Martin V ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

LWPR; Machine learning; Non parametric regression; XCSF

Indexed keywords

APPROXIMATION PROBLEMS; BENCH-MARK PROBLEMS; CLUSTERINGS; COMPARATIVE STUDIES; FUNCTION APPROXIMATION; FUNCTION CLASS; GENETICS BASED MACHINE LEARNING; GRID SEARCH; INPUT SPACE; LEARNING BEHAVIOR; LEARNING CLASSIFIER SYSTEM; LOCAL MODEL; LOCALLY WEIGHTED PROJECTION REGRESSIONS; LWPR; MACHINE LEARNING TECHNIQUES; NON-PARAMETRIC REGRESSION; NONLINEAR FUNCTIONS; NUMERICAL MATHEMATICS; PARETO OPTIMAL SOLUTIONS; PARETO-OPTIMAL; PERFORMANCE CRITERION; POPULATION SIZES; WEIGHTED SUM; XCSF;

LEARNING ALGORITHMS; LEARNING SYSTEMS; POPULATION STATISTICS; REGRESSION ANALYSIS;

FUNCTIONS;

EID: 84861636511     PISSN: 18645909     EISSN: 18645917     Source Type: Journal    
DOI: 10.1007/s12065-012-0082-7     Document Type: Article

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