112 search results - page 8 / 23 » Game-Theoretic Learning Using the Imprecise Dirichlet Model |
108
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ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
VLDB
1990
ACM
15 years 3 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
120
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UAI
2004
15 years 1 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
113
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AAAI
2010
15 years 1 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...