462 search results - page 20 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
ADBIS
2003
Springer
15 years 2 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
71
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IDA
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
75
Voted
ISDA
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
104
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
81
Voted
MICCAI
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...