2190 search results - page 96 / 438 » Mixtures of Gaussian Processes |
165
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TSP
2010
14 years 11 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
153
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CSDA
2007
15 years 4 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
178
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
112
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ICASSP
2008
IEEE
15 years 11 months ago
2008
IEEE
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...