130 search results - page 7 / 26 » Structure learning of Bayesian networks using a semantic gen... |
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
DKE
2007
13 years 7 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...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
BMCBI
2010
13 years 7 months ago
2010
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
FLAIRS
2001
13 years 8 months ago
2001
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...