784 search results - page 14 / 157 » Diffeomorphic Dimensionality Reduction |
137
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NIPS
2003
15 years 5 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
157
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SMA
2003
ACM
15 years 9 months ago
2003
ACM
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
144
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
156
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SLSFS
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...
128
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PRL
2010
15 years 2 months ago
2010
In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction methods. This is achieved, first, by introducing the m...