BN Journal Club

The BN Journal club meets on Mondays at 1430am in the computer science and engineering conference room, Swearingen 3A75. Papers to be discussed are on the following and related topics. See for links to papers presented in 2006-2007, and at some other times not included below.

[Univ. of South Carolina] [Dept of Computer Science and Engineering] [College of Engineering and Information Technology]


Here are links to some BN seminars from past semesters: If you have any questions or comments about this site please send email to: mgv@cse.sc.edu
Last modified: Tue Aug 31
DateTopicPaperPresenter
May 19, 2008 LS, Hugin, and Shenoy-Shafer Propagation A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions, by Vasilica Lepar and Prakash P. Shenoy, Proceedings of UAI-98, pp,328-338, local copy) Scott Langevin, Chris Street, and Alicia Ruvinsky (presentation)
March 17, 2008 Similarity Networks Knowledge Representation and Inference in Similarity Network and Bayesian Multinets by Dan Geiger and David Heckerman, Artificial Intelligence, 82 (1996), 45-74, ( local copy) Jingsong Wang (presentation)
March 3, 2008 Uncertain Evidence Belief Update in Bayesian Networks Using Uncertain Evidence by Rong Pan, Yun Peng, and Zhongli Ding ( local copy) Scott Langevin
Sept. 15, 2004 Noisy Or Models Noisy-Or Classifier by Jiri Vomlel Yimin Huang
Sept. 1, 2004 Belief and Model Revision with Uncertain Evidence Thoughts on Belief and Model Revision with Uncertain Evidence by Jiri Vomlel Valerie Sessions: PowerPoint presentation based on author's presentation
Oct. 6, 2004 Belief Revision with Uncertain Evidence On the Revision of Probabilistic Beliefs Using Uncertain Evidence by Hei Chan and Adnan Darwiche Valerie Sessions: PowerPoint presentation
Oct. 20, 2004 Communicating Probabilistic Information with Words and Numbers "Talking probabilities: communicating probabilistic information with words and numbers" by Silja Renooji and Cilia Witteman. First additional reference ; Second additional reference ; Third additional reference---see especially the section entitled "Expression of Uncertainty" and Figure 18. Jiangbo Dang: PowerPoint presentation
Nov. 3, 2004 Causality and Bayesian Networks "Causal Diagrams for Empirical Research" by Judea Pearl. (pdf copy at author's web site), (ps copy at author's web site), Yimin Huang: PowerPoint presentation
Nov. 20, 2004 Integrating Bayesian Networks and Clausal-Form First-Order Logic "Probabilistic Horn Abduction and Bayesian Networks" by David Poole. (local copy, gzipped postscript) . Hrishikesh Goradia: PowerPoint presentation
Jan. 28, 2005 Causal Discovery from Text and Spring Organizational Meeting "Causal Discovery from Medical Textual Data" by Subramani Mani and Gregory F. Cooper (local copy, pdf) (local copy of a related paper, pdf) (local copy of a related paper, pdf) Marco Valtorta: PowerPoint presentation
Feb. 18, 2005 Analysis of Competing Hypotheses and Some Extensions "Extending Heuer's Analysis of Competing Hypotheses Method to Support Complex Decision Analysis" by Marco Valtorta, Michael Huhns, Jiangbo Dang, Hrishikesh Goradia, and Jingshan Huang. Related papers: Analysis of Competing Hypotheses Chapter in a book by Richards Heuer. Pirolli, P.and Good, L. (2004). Evaluation of a computer support tool for Analysis of Competing Hypotheses. Palo Alto, CA: Palo Alto Research Center (UIR Technical Report). Manual for ACH0 (Local copy). ACH0 Download Site Presentation by Jingshan Huang
Mar. 25, 2005 ACH to BN Translator "Extending Heuer's Analysis of Competing Hypotheses Method to Support Complex Decision Analysis" by Marco Valtorta, Michael Huhns, Jiangbo Dang, Hrishikesh Goradia, and Jingshan Huang. See entry for February 18, 2005. Presentation by Jingshan Huang
May 16, 2005 Bayesian Networks at IA-05 "Apollo: An Analytical Tool for Predicting a Subject's Decision Making" (Local Copy), by Paul Sticha, Dennis Buede and Richard L. Rees. "Multi-Entity Bayesian Networks Without Multi-Tears" (Local Copy), by Paulo G.C. da Costa and Kathryn B. Laskey. Presentation by Marco Valtorta