5046 search results - page 87 / 1010 » Feature Selection from Huge Feature Sets |
185
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AAAI
2010
15 years 7 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
255
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CATA
2009
15 years 7 months ago
2009
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
184
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
168
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CIARP
2009
Springer
16 years 28 days ago
2009
Springer
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
165
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...