321 search results - page 20 / 65 » Learning Bayesian Networks with Local Structure |
110
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ICML
2005
IEEE
16 years 16 days ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
ICPR
2004
IEEE
16 years 25 days ago
2004
IEEE
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
AI
2002
Springer
14 years 11 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
106
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IJAR
2010
14 years 10 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
111
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ECAI
2008
Springer
15 years 1 months ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...