2868 search results - page 197 / 574 » Inference in Bayesian Networks |
171
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ECAI
2004
Springer
15 years 10 months ago
2004
Springer
The task of eliciting all probabilities required for a Bayesian network can be supported by first acquiring qualitative constraints on the numerical quantities to be obtained. Buil...
185
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ICML
2004
IEEE
16 years 7 months 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 ...
225
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AMDO
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
209
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ISNN
2004
Springer
15 years 11 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
178
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SGAI
2004
Springer
15 years 11 months ago
2004
Springer
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...