A wrapper method for feature selection in multiple classes datasets

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

Volumn 5517 LNCS, Issue PART 1, 2009, Pages 456-463

  Sánchez Maroño, Noelia ^a   Alonso Betanzos, Amparo ^a   Calvo Estévez, Rosa M ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; BINARY PROBLEMS; CLASSICAL ALGORITHMS; COMPARATIVE STUDIES; DATA SETS; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SELECTION METHODS; FUNCTIONAL NETWORK; IMPROVING PERFORMANCE; LEARNING MODELS; MULTI-CLASS; MULTI-CLASS PROBLEMS; MULTI-CLASS TASKS; MULTIPLE CLASS; REDUNDANT FEATURES; WRAPPER METHODS;

BACKPROPAGATION; NEURAL NETWORKS;

LEARNING ALGORITHMS;

EID: 68849131508     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02478-8_57     Document Type: Conference Paper

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