Variable-length representation for EC-based feature selection in high-dimensional data

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

Volumn 11454 LNCS, Issue , 2019, Pages 325-340

  Cilia, N D ^a   De Stefano, C ^a   Fontanella, F ^a   Scotto di Freca, A ^a  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

Author keywords

Evolutionary algorithms; Feature selection; Variable length representation

Indexed keywords

CALCULATIONS; CLUSTERING ALGORITHMS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS;

BINARY STRING; COMPLEX SEARCH SPACES; CROSSOVER OPERATOR; FEATURE SUBSET; HIGH DIMENSIONAL DATA; REPRESENTATION SCHEMES; STANDARD GENETIC ALGORITHM; VARIABLE LENGTH;

FEATURE EXTRACTION;

EID: 85065703189     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-030-16692-2_22     Document Type: Conference Paper

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