3086 search results - page 30 / 618 » Generalized Discriminant Analysis Using a Kernel Approach |
156
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FGR
2008
IEEE
16 years 10 days ago
2008
IEEE
We propose a new discriminant analysis using composite vectors for eye detection. A composite vector consists of a number of pixels inside a window on an image. The covariance of ...
149
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JMLR
2010
15 years 20 days ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
150
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FLAIRS
2006
15 years 7 months ago
2006
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
178
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JMLR
2011
15 years 25 days ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
212
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BMCBI
2007
15 years 6 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...