139 search results - page 13 / 28 » Learning Bayesian Network Structure using LP Relaxations |
132
Voted
FUIN
2008
15 years 11 days ago
2008
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
120
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BMCBI
2010
15 years 1 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
106
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
123
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ICDAR
2009
IEEE
14 years 11 months ago
2009
IEEE
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
128
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NIPS
2008
15 years 3 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...