877 search results - page 16 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
106
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ICML
1997
IEEE
15 years 3 months ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
ANTSW
2006
Springer
15 years 3 months ago
2006
Springer
Ant colony optimisation is a constructive metaheuristic that successively builds solutions from problem-specific components. A parameterised model known as pheromone--an analogue o...
110
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PR
2010
14 years 10 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
RSCTC
2000
Springer
15 years 3 months ago
2000
Springer
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...