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1 Ergebnisse
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Feature selection for support vector regression using proba..:
, In:
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
,
Yang, Jian-Bo
;
Ong, Chong-Jin
- p. 343-352 , 2010
Link:
https://dl.acm.org/doi/10.1145/1835804.1835849
RT T1 <cTitle>Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>Feature selection for support vector regression using probabilistic prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-1835849&Exemplar=1&LAN=DE A1 Yang, Jian-Bo A1 Ong, Chong-Jin PB ACM YR 2010 K1 feature ranking K1 feature selection K1 probabilistic predictions K1 random permutation K1 support vector regression K1 Information systems K1 Information systems applications K1 Data mining K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Logical and relational learning K1 Inductive logic learning SP 343 OP 352 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1835804.1835849 DO https://dl.acm.org/doi/10.1145/1835804.1835849 SF ELIB - SuUB Bremen
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