2868 search results - page 277 / 574 » Inference in Bayesian Networks |
179
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
183
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PKDD
2005
Springer
16 years 2 days ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
179
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LWA
2004
15 years 8 months ago
2004
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
196
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JCST
2010
15 years 5 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
198
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ACL
2010
15 years 4 months ago
2010
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...