241 search results - page 43 / 49 » Parameter learning for relational Bayesian networks |
109
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AAAI
2011
13 years 9 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
106
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BMCBI
2010
14 years 9 months ago
2010
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
BMCBI
2007
14 years 9 months ago
2007
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
EMNETS
2007
15 years 1 months ago
2007
Currently, there is a lack of stand-alone geo-monitoring systems for harsh environments that are easy to configure, deploy and manage, while at the same time adhering to science g...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...