7351 search results - page 329 / 1471 » Machine Learning |
158
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
172
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
181
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WEBI
2007
Springer
16 years 25 days ago
2007
Springer
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
189
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ECML
2005
Springer
16 years 8 days ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...