5802 search results - page 62 / 1161 » Parallelizing Feature Selection |
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
PR
2006
14 years 9 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...
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ECAI
2010
Springer
14 years 7 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
CLEAR
2007
Springer
15 years 4 months ago
2007
Springer
Given the spectral difference between speech and acoustic events, we propose using Kullback-Leibler distance to quantify the discriminant capability of all speech feature componen...
ICGA
1997
14 years 11 months ago
1997
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...