1868 search results - page 200 / 374 » Evaluating whole-page relevance |
RSCTC
2000
Springer
15 years 5 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 ...
159
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ANNES
1995
15 years 5 months ago
1995
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
114
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CHI
1995
ACM
15 years 5 months ago
1995
ACM
Collaborative filtering is based on the premise that people looking for information should be able to make use of what others have already found and evaluated. Current collaborati...
107
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EURODAC
1995
IEEE
15 years 5 months ago
1995
IEEE
This paper presents a formal approach to test combinational circuits. For the sake of explanation we describe the basic algorithms with the help of the stuck–at fault model. Ple...
117
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KDD
1995
ACM
15 years 5 months ago
1995
ACM
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...