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» Optimization on Support Vector Machines
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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 3 months ago
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
Xavier Llorà, Kumara Sastry, David E. Goldb...
CORR
2008
Springer
113views Education» more  CORR 2008»
14 years 9 months ago
Robustness, Risk, and Regularization in Support Vector Machines
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
Huan Xu, Shie Mannor, Constantine Caramanis
ICML
2006
IEEE
15 years 10 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
COLT
2003
Springer
15 years 2 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
ADMA
2005
Springer
149views Data Mining» more  ADMA 2005»
15 years 3 months ago
A New Support Vector Machine for Data Mining
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiu...