An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets-Reference-Cited by-同舟云学术

An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets

Published:1994 Issue: Volume: Page:8-14
ISSN:
Container-title:Uncertainty Proceedings 1994
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Author:

Aliferis Constantin F.,Cooper Gregory F.

Publisher

Elsevier

Reference18 articles.

1. C. Aliferis, E. Chao and G. Cooper “Data Explorer: A Prototype Expert System for Statistical Analysis” Proceedings of the 17th annual SCAMC, 1993, 389–393.

2. I. Beinlich, H. Suermondt, M. Chavez, G. Cooper “The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks”, Proceedings of the Conference on Artificial Intelligence in Medical Care, London, 1989, 247–256.

3. “A Bayesian method for the induction of probabilistic networks from data”;Cooper;Machine Learning,1992

4. “Current research directions in the development of expert systems based on belief networks”;Cooper;Applied Stochastic Models and Data Analysis,1989

5. G. Cooper “A Bayesian method for learning belief networks that contain hidden variables”, to appear in: Journal of Intelligent Information Systems, 1994.

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