136 search results - page 5 / 28 » Structure Inference of Bayesian Networks from Data: A New Ap... |
115
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
162
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JMLR
2010
14 years 10 months ago
2010
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
147
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ISDA
2008
IEEE
15 years 9 months ago
2008
IEEE
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
140
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NIPS
2008
15 years 4 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...
174
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GLOBECOM
2010
IEEE
15 years 1 months ago
2010
IEEE
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...