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1 Ergebnisse
1
Gene Co-Adaboost : a semi-supervised approach for classi..:
, In:
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
,
Du, Nan
;
Li, Kang
;
Mahajan, Supriya D.
... - p. 531-535 , 2011
Link:
https://dl.acm.org/doi/10.1145/2147805.2147892
RT T1 <cTitle>Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine</cTitle>: T1 <Title>Gene Co-Adaboost : a semi-supervised approach for classifying gene expression data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2147892&Exemplar=1&LAN=DE A1 Du, Nan A1 Li, Kang A1 Mahajan, Supriya D. A1 Schwartz, Stanley A. A1 Nair, Bindukumar B. A1 Hsiao, Chiu Bin A1 Zhang, Aidong PB ACM YR 2011 K1 cascade judgment K1 co-training K1 gene Co-Adaboost K1 gene features split K1 multi-views K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 531 OP 535 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2147805.2147892 DO https://dl.acm.org/doi/10.1145/2147805.2147892 SF ELIB - SuUB Bremen
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