CS539 Reading List

• Jensen - Bayesian Networks and Decision Graphs - Excerpts from Chapters 1, 2, 4
• Heckerman and Wellman - Intorduction to Communications of ACM special issue, March 1995
• Sara Hedberg - Is AI going Mainstream at last? IEEE Intelligent Systems, March/April 1998
• Kevin Murphy - A Brief Introduction to Graphical MOdels and Bayesian Networks. html
• Peter Haddaway. An overview of some recent developments in Bayesian problem solving techniques. AI Magazine, Spring 1999. here
• Bruce D'Ambrosio. Inference in Bayesian Networks. AI Magazine, Summer, 1999 here
• David Heckerman. A tutorial on learning with bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Redmond, Washington, 1995. Revised June 96. here
• W. Buntine. Learning Probabilistic Models. here
• E. Horvitz et al, Lumiere. here
• L. Getoor, N. Friedman, D. Koller, and A. Pfeffer. Learning probabilistic relational models. In IJCAI '99. 1999. here
• L. Getoor, N. Friedman, D. Koller, and A. Pfeffer.Learning Probabilistic Relational Models, Invited contribution to the book Relational Data Mining, S. Dzeroski and N. Lavrac, Eds., Springer-Verlag, 2001 here
• Bruce G. Marcot., R. S. Holthausen, M. G. Raphael, M. Rowland, and M. Wisdom. In press. Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. Forest Ecology and Management xxx(xxx):xxx-xxx. here
• Bruce Rieman; James T. Peterson; James Clayton; Philip Howell; Russell Thurow; William Thompson; Danny Lee. Evaluation of potential effects of federal land management alternatives on trends of salmonids and their habitats in the interior Columbia River basin. Forest Ecology and Management 2001; 153:43-62. here
• Kuikka and Varis, Use of Bayesian Influence Diagrams in Fisheries Management... ICES C.M.1992/D:5
• B. E. Burnside, D. L. Rubin, & R. Shachter. A Bayesian Network for Mammography. 2000. Stanford Medical Informatic Department Report SMI-2001-0867. here
• Chunhui Zhong, Chunhui and Perry Y. Li . Bayesian Belief Network Modeling and Diagnosis of Xerographic Systems, Department of Mechanical Engineering University of Minnesota. here
• Nicola Henze and Wolfgang Nejdl: Student Modeling for the KBS Hyperbook System using Bayesian Networks. Extended Report. here
• Bruce G. Marcot. A Process for Creating Bayesian Belief Network Models of Species-Environment Relations. USDA Forest Service, Portland, Oregon. February 16, 1999. here
• Water Quality prediction and probability network models
• Borusk et al, Stakeholder Values and Scientific Modeling in the Neuse River Watershed, Group Decision and Negotiation, 10:355-373, 2001
• Wright, Application of Bayesian Networks for Representing Uncertainty in Geospatial Data, ASPRS Spring 1998
• A.M. Ellison. 1996. An introduction to Bayesian inference for ecological research and environmental decision-making. Ecological Applications 6: 1036-1046. here
• Mark Borsuk, Robert Clemen, Lynn Maguire, and Kenneth Reckhow. Stakeholder Values and Scientific Modeling in the Neuse River Watershed, Group Decision and Negotiation, 10:355-373, 2001. here
• L.C. van der Gaag, S. Renooij, B.M.P. Aleman, B.G. Taal (2000). Evaluation of a probabilistic model for staging of oesophageal carcinoma. In: A. Hasman, B. Blobel, J. Dudeck, R. Engelbrecht, G. Gell, H.-U. Prokosch (Editors). Medical Infobahn for Europe: Proceedings of MIE2000 and GMDS2000, IOS Press, Amsterdam, pp. 772 - 776. paper
• Ramoni and Sebastiani Survey analysis paper pdf