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32
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PRL
2006
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PRL 2006
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Ho-Kashyap classifier with early stopping for regularization
13 years 11 months ago
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hal.archives-ouvertes.fr
This paper focuses on linear classification using a fast and simple algorithm known as the Ho
Fabien Lauer, Gérard Bloch
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39
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ICANN
2005
Springer
109
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Neural Networks
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ICANN 2005
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Model Selection Under Covariate Shift
14 years 5 months ago
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sugiyama-www.cs.titech.ac.jp
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
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