Abstract is missing.
- Introduction to Bayesian NetworksDawn E. Holmes, Lakhmi C. Jain. 1-5 [doi]
- A Polemic for Bayesian StatisticsRichard E. Neapolitan. 7-32 [doi]
- A Tutorial on Learning with Bayesian NetworksDavid Heckerman. 33-82 [doi]
- The Causal Interpretation of Bayesian NetworksKevin B. Korb, Ann E. Nicholson. 83-116 [doi]
- An Introduction to Bayesian Networks and Their Contemporary ApplicationsI. S. P. Daryle Niedermayer. 117-130 [doi]
- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast CancerSylvia B. Nagl, Matt Williams, Jon Williamson. 131-167 [doi]
- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian NetworksXia Jiang, Michael M. Wagner, Gregory F. Cooper. 169-185 [doi]
- An Information-Geometric Approach to Learning Bayesian Network Topologies from DataEitel J. M. Lauría. 187-217 [doi]
- Causal Graphical Models with Latent Variables: Learning and InferencePhilippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick. 219-249 [doi]
- Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction ProblemM. Julia Flores, José A. Gámez, Serafín Moral. 251-280 [doi]
- Toward a Generalized Bayesian NetworkDawn E. Holmes. 281-288 [doi]
- A Survey of First-Order Probabilistic ModelsRodrigo de Salvo Braz, Eyal Amir, Dan Roth. 289-317 [doi]