283 search results - page 3 / 57 » Learning Bayesian Networks: The Combination of Knowledge and... |
CVPR
1999
IEEE
14 years 7 months ago
1999
IEEE
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
PRL
2000
13 years 5 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
ML
2010
ACM
13 years 4 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...
ACL
2006
13 years 7 months ago
2006
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...