553 search results - page 54 / 111 » Bayesian network learning algorithms using structural restri... |
123
Voted
IMC
2007
ACM
15 years 4 months ago
2007
ACM
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
118
Voted
CVPR
2000
IEEE
16 years 4 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
123
Voted
RECOMB
2003
Springer
16 years 2 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
114
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
117
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IJCAI
2007
15 years 3 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...