4591 search results - page 381 / 919 » Learning from Dyadic Data |
212
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COLING
2010
15 years 1 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
219
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TNN
2010
15 years 1 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
196
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APBC
2003
15 years 8 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
171
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ESWA
2008
15 years 7 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
178
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JMLR
2006
15 years 6 months ago
2006
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...