Empirical evaluation of ensemble feature subset selection methods for learning from a high-dimensional database in drug design

Proceedings - 3rd IEEE Symposium on BioInformatics and BioEngineering, BIBE 2003

Volumn , Issue , 2003, Pages 253-257

  Mamitsuka, Hiroshi ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CHEMICAL COMPOUNDS; CLUSTERING ALGORITHMS; DRUG DELIVERY; MOLECULAR BIOLOGY; QUERY PROCESSING;

EMPIRICAL EVALUATIONS; ENSEMBLE METHODS; FEATURE SUBSET SELECTION; FEATURE SUBSET SELECTION METHODS; HIGH DIMENSIONAL DATA; PHARMACEUTICAL FIELDS; PREDICTION ACCURACY; TIME EFFICIENCIES;

FEATURE EXTRACTION;

EID: 32544459311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2003.1188959     Document Type: Conference Paper

References (8)

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