373 search results - page 3 / 75 » Variant Methods of Reduced Set Selection for Reduced Support... |
AAAI
2008
13 years 7 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
PR
2006
13 years 5 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
DAGM
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...