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» An efficient method for simplifying support vector machines
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87
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DAGM
2005
Springer
15 years 9 months ago
Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification
Matthias Rätsch, Sami Romdhani, Gerd Teschke,...
133
Voted
OL
2007
103views more  OL 2007»
15 years 3 months ago
Support vector machine via nonlinear rescaling method
In this paper we construct the linear support vector machine (SVM) based on the nonlinear rescaling (NR) methodology (see [9, 11, 10] and references therein). The formulation of t...
Roman A. Polyak, Shen-Shyang Ho, Igor Griva
126
Voted
JISE
2010
144views more  JISE 2010»
14 years 10 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
ICML
2004
IEEE
16 years 4 months ago
A hierarchical method for multi-class support vector machines
We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems. DB2 offers an alternative to the standard one-again...
Volkan Vural, Jennifer G. Dy
142
Voted
ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 3 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich