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» Incremental Training of Multiclass Support Vector Machines
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121
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ICML
2006
IEEE
16 years 4 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu
138
Voted
ICPR
2006
IEEE
16 years 4 months ago
Car/Non-Car Classification in an Informative Sample Subspace
In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low di...
Guoping Qiu, Jianzhong Fang
142
Voted
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 7 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
152
Voted
BMCBI
2006
146views more  BMCBI 2006»
15 years 3 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
135
Voted
ICML
2004
IEEE
16 years 4 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara