5802 search results - page 54 / 1161 » Parallelizing Feature Selection |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
ECML
1998
Springer
15 years 2 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
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ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...