321 search results - page 39 / 65 » Learning Bayesian Networks with Local Structure |
112
Voted
UAI
2008
15 years 3 months ago
2008
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
154
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ICIP
2003
IEEE
15 years 7 months ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
142
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METMBS
2003
15 years 3 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
125
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SDM
2008
SIAM
15 years 3 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
124
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ACMSE
2006
ACM
15 years 3 months ago
2006
ACM
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...