5463 search results - page 761 / 1093 » Evaluating algorithms that learn from data streams |
207
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NIPS
2007
15 years 9 months ago
2007
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
256
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WWW
2010
ACM
16 years 2 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
204
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SIGIR
2006
ACM
16 years 1 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
216
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JCP
2008
15 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
284
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ICASSP
2011
IEEE
14 years 11 months ago
2011
IEEE
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...