1224 search results - page 25 / 245 » On the Optimality of the Dimensionality Reduction Method |
161
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COMSIS
2010
15 years 3 months ago
2010
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
162
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CIKM
2009
Springer
16 years 20 days ago
2009
Springer
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...
174
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SDM
2012
SIAM
13 years 8 months ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
167
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AAAI
2008
15 years 8 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
188
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IJCAI
2003
15 years 7 months ago
2003
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...