1789 search results - page 279 / 358 » Genetic Algorithms for Component Analysis |
170
Voted
NIPS
2003
15 years 4 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
122
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
133
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ICA
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
138
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CSDA
2010
15 years 3 months ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
121
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IPM
2006
15 years 3 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...