1405 search results - page 23 / 281 » Anytime Algorithm for Feature Selection |
109
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NIPS
2000
15 years 3 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
111
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ADCS
2004
15 years 3 months ago
2004
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
113
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PAMI
2007
15 years 1 months ago
2007
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
159
Voted
ICML
2001
IEEE
16 years 2 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...
160
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...