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ICPR
2008
IEEE
13 years 11 months ago
Weighted solution path algorithm of support vector regression for abnormal data
In the solution path algorithm of support vector regression, the penalty for violation of the required error is considered equally for every training sample, which means every tra...
Wen-tao Mao, Long-lei Dong, Gang Zhang
NIPS
2003
13 years 6 months ago
1-norm Support Vector Machines
The standard 2-norm SVM is known for its good performance in twoclass classi£cation. In this paper, we consider the 1-norm SVM. We argue that the 1-norm SVM may have some advanta...
Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibs...
ICASSP
2008
IEEE
13 years 11 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
JMLR
2006
91views more  JMLR 2006»
13 years 4 months ago
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
We describe polynomial
Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Ste...
ICPR
2008
IEEE
13 years 11 months ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz