3918 search results - page 441 / 784 » Probabilistic model of triangulation |
167
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NIPS
2004
15 years 8 months ago
2004
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
155
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NIPS
2003
15 years 8 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
181
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NIPS
2000
15 years 8 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
185
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JLP
2007
15 years 6 months ago
2007
The algebra of communicating shared resources (ACSR) is a timed process algebra which extends classical process algebras with the notion of a resource. It takes the view that the ...
169
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JMLR
2002
15 years 6 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....