321 search results - page 15 / 65 » Learning Bayesian Networks with Local Structure |
132
Voted
ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
UAI
1997
15 years 1 months ago
1997
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
108
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IJCAI
2007
15 years 1 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
124
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ICML
2005
IEEE
16 years 15 days ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
117
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ICML
2004
IEEE
16 years 15 days 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...