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https://papers.nips.cc/paper/3356-efficient-convex-relaxation-for-transductive-support-vector-machine.pdf
ing TSVM into a convex problem. Compared to the SDP relaxation approach, it is advantageous in that (1) it produces the best convex approximation for TSVM, and (2) it is computationally more efficient than the previous SDP relaxation. 3 Relaxed Transductive Support Vector Machine
https://www.researchgate.net/publication/221619740_Efficient_Convex_Relaxation_for_Transductive_Support_Vector_Machine
Efficient Convex Relaxation for Transductive Support Vector Machine ... we propose solving Trans- ductive SVM via a convex relaxation, which converts the NP-hard problem to a …
https://papers.nips.cc/paper/3356-efficient-convex-relaxation-for-transductive-support-vector-machine
Efficient Convex Relaxation for Transductive Support Vector Machine. Part of: Advances in Neural Information Processing Systems 20 (NIPS 2007) Authors. Zenglin Xu; Rong Jin; Jianke Zhu; Irwin King; Michael Lyu; Abstract. We consider the problem of Support Vector Machine transduction, which involves a combinatorial problem with exponential computational …
https://core.ac.uk/display/24510387
Efficient Convex Relaxation for Transductive Support Vector Machine . By Zenglin Xu, Rong Jin, ... We consider the problem of Support Vector Machine transduction, which involves a combinatorial problem with exponential computational complexity in the number of unlabeled examples. Although several studies are devoted to Transductive SVM, they ...
https://link.springer.com/article/10.1007/s10957-015-0843-4
Nov 16, 2015 · Semi-supervised support vector machines arise in machine learning as a model of mixed integer programming problem for classification. In this paper, we propose two convex conic relaxations for the original mixed integer programming problem. The first one is a new semi-definite relaxation, and its possibly maximal ratio of the optimal value is estimated …Cited by: 8
http://makerhacker.github.io/paper-mining/nips/nips2007/nips-2007-Efficient_Convex_Relaxation_for_Transductive_Support_Vector_Machine.html
76 nips-2007-Efficient Convex Relaxation for Transductive Support Vector Machine. Source: pdf. Author: Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu. Abstract: We consider the problem of Support Vector Machine transduction, which involves a combinatorial problem with exponential computational complexity in the number of unlabeled ...
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