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NIPS
2000
15 years 2 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
JMLR
2008
110views more  JMLR 2008»
15 years 1 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai
ESWA
2007
119views more  ESWA 2007»
15 years 1 months ago
Marketing segmentation using support vector clustering
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
Jih-Jeng Huang, Gwo-Hshiung Tzeng, Chorng-Shyong O...
NECO
2007
95views more  NECO 2007»
15 years 1 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi
PR
2007
126views more  PR 2007»
15 years 1 months ago
The multiresolution gradient vector field skeleton
Many algorithms suppress skeleton associated with boundary perturbation by preventing their formation or by costly branch pruning. This work proposes a novel concept of structural...
Wooi-Boon Goh, Kai-Yun Chan