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149
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
186
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
151
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
185
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ALT
2000
Springer
16 years 3 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
219
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IEAAIE
2005
Springer
16 years 7 days ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...