1340 search results - page 130 / 268 » Structure learning of Bayesian networks using constraints |
157
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
135
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WWW
2010
ACM
15 years 11 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
133
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FLAIRS
2003
15 years 5 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
161
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AAAI
2012
13 years 6 months ago
2012
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
159
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INFOCOM
2012
IEEE
13 years 6 months ago
2012
IEEE
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...