79 search results - page 9 / 16 » Imprecise probability models for inference in exponential fa... |
113
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IJAR
2008
15 years 1 months ago
2008
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
116
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
129
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ICONIP
2007
15 years 3 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
147
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NIPS
2000
15 years 3 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
129
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ICLP
2010
Springer
15 years 5 months ago
2010
Springer
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...