Learning hybrid Bayesian networks using mixtures of truncated exponentials

Learning hybrid Bayesian networks using mixtures of truncated exponentials

In this paper we introduce an algorithm for learning hybrid Bayesian networks from data. The result of the algorithm is a network where the conditional distribution for each variable is a mixture of truncated exponentials (MTE), so that no restrictions on the network topology are imposed. The struct...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Romero, Vanessa, Rumí, Rafael, Salmerón Cerdán, Antonio
Fformat: info:eu-repo/semantics/article
Iaith:English
Cyhoeddwyd: 2017
Pynciau:
Bayesian networks
Mixtures of truncated exponentials
Continuous variables
Parameter learning
Kernel Methods
Simulated
Mynediad Ar-lein:http://hdl.handle.net/10835/4898
https://doi.org/10.1016/j.ijar.2005.10.004

Rhyngrwyd

http://hdl.handle.net/10835/4898
https://doi.org/10.1016/j.ijar.2005.10.004

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