3716 search results - page 148 / 744 » On the monotonization of the training set |
213
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JMLR
2012
13 years 8 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
157
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MCS
2000
Springer
15 years 10 months ago
2000
Springer
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
185
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IJCAI
2003
15 years 7 months ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
174
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ICIP
2006
IEEE
16 years 8 months ago
2006
IEEE
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
206
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...