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» Training of Support Vector Machines with Mahalanobis Kernels
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142
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COLT
2006
Springer
15 years 1 months ago
Learning Bounds for Support Vector Machines with Learned Kernels
Nathan Srebro, Shai Ben-David
BMCBI
2007
139views more  BMCBI 2007»
14 years 9 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
CORR
2008
Springer
114views Education» more  CORR 2008»
14 years 9 months ago
Support Vector Machine Classification with Indefinite Kernels
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
Ronny Luss, Alexandre d'Aspremont
AIR
2005
122views more  AIR 2005»
14 years 9 months ago
The Genetic Kernel Support Vector Machine: Description and Evaluation
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...
Tom Howley, Michael G. Madden
81
Voted
MLDM
2007
Springer
15 years 3 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...