3716 search results - page 279 / 744 » On the monotonization of the training set |
206
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ICTAI
2007
IEEE
16 years 29 days ago
2007
IEEE
Typically, spam filters are built on the assumption that the characteristics of e-mails in the training set is identical to those in individual users’ inboxes on which it will b...
173
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CIKM
2007
Springer
16 years 25 days ago
2007
Springer
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
263
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ECML
2007
Springer
16 years 24 days ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
134
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ICDM
2006
IEEE
16 years 21 days ago
2006
IEEE
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
178
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ICMCS
2006
IEEE
16 years 20 days ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...