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1 Ergebnisse
1
Solving Linear SVMs with Multiple 1D Projections:
, In:
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
,
Schneider, Johannes
;
Bogojeska, Jasmina
;
Vlachos, Michail
- p. 221-230 , 2014
Link:
https://dl.acm.org/doi/10.1145/2661829.2661994
RT T1 <cTitle>Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management</cTitle>: T1 <Title>Solving Linear SVMs with Multiple 1D Projections</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2661994&Exemplar=1&LAN=DE A1 Schneider, Johannes A1 Bogojeska, Jasmina A1 Vlachos, Michail PB ACM YR 2014 K1 classification K1 coordinate descent K1 data mining K1 random projections K1 support vector machines (svm) K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis SP 221 OP 230 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2661829.2661994 DO https://dl.acm.org/doi/10.1145/2661829.2661994 SF ELIB - SuUB Bremen
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