564 search results - page 24 / 113 » Approximation algorithms for restricted Bayesian network str... |
120
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JACM
2010
14 years 11 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
121
Voted
DSN
2007
IEEE
15 years 6 months ago
2007
IEEE
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
103
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ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
113
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
113
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AUSAI
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...