288 search results - page 9 / 58 » Improving Bayesian Network parameter learning using constrai... |
NN
1997
Springer
15 years 3 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
108
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INFORMATICALT
2002
14 years 11 months ago
2002
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
92
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LREC
2010
15 years 1 months ago
2010
Identification of transliterations is aimed at enriching multilingual lexicons and improving performance in various Natural Language Processing (NLP) applications including Cross ...
101
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LCN
2006
IEEE
15 years 5 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
109
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UAI
1996
15 years 1 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...