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A maximal figure-of-merit learning approach to text categor..:
, In:
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
,
Gao, Sheng
;
Wu, Wen
;
Lee, Chin-Hui
. - p. 174-181 , 2003
Link:
https://dl.acm.org/doi/10.1145/860435.860469
RT T1 <cTitle>Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval</cTitle>: T1 <Title>A maximal figure-of-merit learning approach to text categorization</Title> UL https://suche.suub.uni-bremen.de/peid=acm-860469&Exemplar=1&LAN=DE A1 Gao, Sheng A1 Wu, Wen A1 Lee, Chin-Hui A1 Chua, Tat-Seng PB ACM YR 2003 K1 decision tree K1 generalized probabilistic descent method K1 latent semantic indexing K1 maximal figure-of-merit K1 support vector machines K1 text categorization K1 Information systems K1 Information retrieval K1 Computing methodologies K1 Machine learning SP 174 OP 181 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/860435.860469 DO https://dl.acm.org/doi/10.1145/860435.860469 SF ELIB - SuUB Bremen
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