145 search results - page 7 / 29 » Bayesian Network Learning with Parameter Constraints |
100
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UAI
2000
14 years 10 months ago
2000
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
105
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ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
152
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Handshape is a key linguistic component of signs, and thus, handshape recognition is essential to algorithms for sign language recognition and retrieval. In this work, linguistic ...
ML
2010
ACM
14 years 8 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...