474 search results - page 26 / 95 » Bayesian Feature and Model Selection for Gaussian Mixture Mo... |
137
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
149
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UAI
2000
15 years 5 months ago
2000
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
123
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IJON
1998
15 years 3 months ago
1998
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
148
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IJAR
2006
15 years 3 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
169
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BMCBI
2010
15 years 4 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...