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» Oblique Support Vector Machines
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NIPS
2003
13 years 7 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart
AAAI
2006
13 years 7 months ago
Closest Pairs Data Selection for Support Vector Machines
This paper presents data selection procedures for support vector machines (SVM). The purpose of data selection is to reduce the dataset by eliminating as many non support vectors ...
Chaofan Sun
PRL
2006
114views more  PRL 2006»
13 years 5 months ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
IWANN
2001
Springer
13 years 10 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
ICML
2008
IEEE
14 years 6 months ago
Fast support vector machine training and classification on graphics processors
Bryan C. Catanzaro, Narayanan Sundaram, Kurt Keutz...