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ML
2006
ACM
14 years 11 months ago
2006
ACM
138
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ML
2002
ACM
14 years 11 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
77
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ML
2002
ACM
14 years 11 months ago
2002
ACM
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
ICONIP
2009
14 years 9 months ago
2009
In this paper, we propose a clustering method by SOM and information criteria. In this method, initial cluster-candidates are derived by SOM, and then these candidates are merged a...
TCS
2002
14 years 11 months ago
2002
In this article, we consider unsupervised learning from the point of view of applying neural computation on signal and data analysis problems. The article is an introductory surve...