136 search results - page 5 / 28 » Structure Inference of Bayesian Networks from Data: A New Ap... |
ICML
2003
IEEE
14 years 8 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 ...
JMLR
2010
13 years 2 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...
ISDA
2008
IEEE
14 years 1 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...
NIPS
2008
13 years 9 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...
GLOBECOM
2010
IEEE
13 years 5 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 ...