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» Optimization on Support Vector Machines
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116
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IWANN
2001
Springer
15 years 7 months ago
Non-symmetric Support Vector Machines
A novel approach to calculate the generalization error of the support vector machines and a new support vector machine–nonsymmatic support vector machine–is proposed here. Our ...
Jianfeng Feng
113
Voted
NCA
2010
IEEE
15 years 1 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
106
Voted
ICML
2008
IEEE
16 years 3 months ago
Fast support vector machine training and classification on graphics processors
Bryan C. Catanzaro, Narayanan Sundaram, Kurt Keutz...
CVPR
2001
IEEE
16 years 4 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
ICML
2005
IEEE
16 years 3 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai