1405 search results - page 9 / 281 » Anytime Algorithm for Feature Selection |
ICGA
1997
15 years 3 months ago
1997
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
135
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NIPS
2003
15 years 3 months ago
2003
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
126
Voted
GECCO
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
130
Voted
EWCBR
2006
Springer
15 years 5 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
108
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...