877 search results - page 97 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
128
Voted
CEAS
2007
Springer
15 years 8 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
140
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ICML
2004
IEEE
15 years 9 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
133
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CLIN
2001
15 years 5 months ago
2001
The present paper evaluates the role selected features and feature combinations play for error detection in spoken dialogue systems. We investigate the relevance of various, readi...
130
Voted
ICML
1999
IEEE
16 years 4 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
123
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ALT
1998
Springer
15 years 8 months ago
1998
Springer
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...