139 search results - page 20 / 28 » Learning Bayesian Network Structure using LP Relaxations |
115
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BMCBI
2007
14 years 11 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
IWINAC
2007
Springer
15 years 5 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
103
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IICAI
2003
15 years 29 days ago
2003
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
109
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ICML
2009
IEEE
16 years 12 days ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
108
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ICML
2005
IEEE
16 years 12 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...