@inproceedings{08a3670f2d8740d3a243a1b52b62b65c,
title = "A GA-based approach for parameter learning of discrete dynamic bayesian networks",
abstract = "Learning dynamic Bayesian networks (DBNs) is one of the current research focuses. In this article a GA-based approach is proposed for DBNs parameters learning from fully and partially observed data. The validity of the novel approach has been demonstrated by a detailedly described example, and the experimental results show that the proposed GA-based approach performs more accurately than the traditional EM algorithm.",
keywords = "DBNs, EM algorithm, Genetic algorithm, Parameter learning",
author = "Huange Wang and Xiaoguang Gao and Thompson, {C. P.}",
year = "2010",
doi = "10.1109/ICCMS.2010.126",
language = "英语",
isbn = "9780769539416",
series = "ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation",
pages = "390--393",
booktitle = "ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation",
note = "2010 International Conference on Computer Modeling and Simulation, ICCMS 2010 ; Conference date: 22-01-2010 Through 24-01-2010",
}