326 search results - page 14 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
EVOW
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
RSCTC
2000
Springer
13 years 12 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 ...
ICPR
2000
IEEE
14 years 24 days ago
2000
IEEE
A new sub-optimal subset search method for feature selection is introduced. As opposed to other till now known subset selection methods the oscillating search is not dependent on ...
AAAI
2008
13 years 10 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
ECML
1998
Springer
14 years 19 days 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...