3378 search results - page 414 / 676 » Learning in Friedberg Numberings |
187
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
151
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
As text corpora become larger, tradeoffs between speed and accuracy become critical: slow but accurate methods may not complete in a practical amount of time. In order to make the...
142
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
167
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
Efficiently finding Web services on the Web is a challenging issue in service-oriented computing. Currently, UDDI is a standard for publishing and discovery of Web services, and U...
160
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KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
16 years 7 months ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...