106 search results - page 13 / 22 » The max-min hill-climbing Bayesian network structure learnin... |
115
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UAI
2000
15 years 1 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...
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
96
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DKE
2007
14 years 11 months ago
2007
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
IJAR
2008
14 years 11 months ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
104
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JMLR
2006
14 years 11 months ago
2006
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...