Innovations in Bayesian Networks : Theory and Applications /
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
156 |
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Table of Contents:
- to Bayesian Networks
- A Polemic for Bayesian Statistics
- A Tutorial on Learning with Bayesian Networks
- The Causal Interpretation of Bayesian Networks
- An Introduction to Bayesian Networks and Their Contemporary Applications
- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer
- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks
- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data
- Causal Graphical Models with Latent Variables: Learning and Inference
- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem
- Toward a Generalized Bayesian Network
- A Survey of First-Order Probabilistic Models.