13414 search results - page 231 / 2683 » The distributed boosting algorithm |
158
Voted
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 ...
173
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WWW
2010
ACM
16 years 1 months ago
2010
ACM
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
165
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IDEAL
2000
Springer
15 years 10 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
171
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UAI
2008
15 years 8 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...