Robust ensemble learning for data mining

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

Volumn 1805, Issue , 2000, Pages 341-344

  Rätsch, Gunnar ^a   Schölkopf, Bernhard ^b   Smola, Alexander Johannes ^c   Mika, Sebastian ^a   Onoda, Takashi ^d   Müller, Klaus Robert ^a  

^a FRAUNHOFER FIRST   (Germany)

^b MICROSOFT RESEARCH   (United Kingdom)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^d CENTRAL RESEARCH INSTITUTE OF ELECTRIC POWER INDUSTRY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; FILTRATION;

BOOSTING ALGORITHM; DECISION BOUNDARY; ENSEMBLE LEARNING; INFORMATIVE PATTERNS; SUPPORT VECTOR CLASSIFICATION; TRADE OFF; TRAINING ERRORS;

DATA MINING;

EID: 84869096933     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45571-x_39     Document Type: Conference Paper

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