462 search results - page 5 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
ICONIP
2007
14 years 11 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...