Novel algorithm for Bayesian network parameter learning with informative prior constraints

Rui Chang; Wei Wang

doi:10.1109/IJCNN.2010.5596889

Novel algorithm for Bayesian network parameter learning with informative prior constraints

Rui Chang
, Wei Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

29 Scopus citations

Abstract

The generalization performance of a learned Bayesian network largely depends on the quality of the prior provided to the learning machine. Indeed, the prior distribution is designed to provide additive domain expert knowledge to the parameters in a Bayesian network which tolerate some variance around these initial counts. The learning task is combinatorial regulates on this initial counts by the data statistics. The use of a prior distribution becomes even more critical in case of scarce data.

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781424469178
DOIs	https://doi.org/10.1109/IJCNN.2010.5596889
State	Published - 2010
Externally published	Yes
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

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10.1109/IJCNN.2010.5596889

Cite this

Chang, R., & Wang, W. (2010). Novel algorithm for Bayesian network parameter learning with informative prior constraints. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 Article 5596889 (Proceedings of the International Joint Conference on Neural Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2010.5596889

Chang, Rui ; Wang, Wei. / Novel algorithm for Bayesian network parameter learning with informative prior constraints. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. (Proceedings of the International Joint Conference on Neural Networks).

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title = "Novel algorithm for Bayesian network parameter learning with informative prior constraints",

abstract = "The generalization performance of a learned Bayesian network largely depends on the quality of the prior provided to the learning machine. Indeed, the prior distribution is designed to provide additive domain expert knowledge to the parameters in a Bayesian network which tolerate some variance around these initial counts. The learning task is combinatorial regulates on this initial counts by the data statistics. The use of a prior distribution becomes even more critical in case of scarce data.",

author = "Rui Chang and Wei Wang",

year = "2010",

doi = "10.1109/IJCNN.2010.5596889",

language = "English",

isbn = "9781424469178",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010",

address = "United States",

note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 ; Conference date: 18-07-2010 Through 23-07-2010",

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Chang, R & Wang, W 2010, Novel algorithm for Bayesian network parameter learning with informative prior constraints. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010., 5596889, Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18/07/10. https://doi.org/10.1109/IJCNN.2010.5596889

Novel algorithm for Bayesian network parameter learning with informative prior constraints. / Chang, Rui; Wang, Wei.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. 5596889 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Chang R, Wang W. Novel algorithm for Bayesian network parameter learning with informative prior constraints. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc. 2010. 5596889. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2010.5596889

Novel algorithm for Bayesian network parameter learning with informative prior constraints

Abstract

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