\ Example Papers

Example Papers

The following is a list of example papers for student presentations. If you want to present one of these papers, please let me know as soon as possible. If you have a different paper you would like to present, let me know what the paper is. Presentations will be 15 minutes long (plus 5 minutes for questions). The main goal of the presentations should be to present and discuss different applications and techniques in uncertainty reasoning with a particular focus on how the techniques are applied in differrent contexts. Your presentation should include a basic description of the paper and the techniques used as well as your assessment and analysis thereof. (Keep in mind that your presentations should be aimed at your classmates and not assume any prerequisites beyond this course and the prerequisites to this course).

Schmidler SC, Liu JS, Brutlag DL, "Bayesian protein structure prediction" Case Studies in Bayesian Statistics, Vol. 5, pp 363-378, 2001.
N Ye, X Let, "A Markov Chain Model of Temporal Behavior for Anomaly Detection", Workshop on Information Assurance and Security, 2000.
M. Lalmas, "Dempster-Shafer's Theory of Evidence applied to Structured Documents: modelling Uncertainty", ACM SIGIR Conference on Research and Development in Information Retrieval, pp 110-118, Philadelphia, PA, July 1997.
C Shelton, "Importance Sampling Estimates for Policies with Memory", ICML workshop on Hierarchy and Memory, 2001.
J. Noppen, M. Aksit, V. Nicola, B. Tekinerdogan, "Market-driven approach based on Markov decision theory for optimal use of resources in software development", IEE Proceedings on Software, 2004.
D. Dash, B. Kveton, J.M. Agosta, E. Schooler, J. Chandrashekar, A. Bachrach, A. Newman, "When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions", Proceedings of AAAI 2006.

Presentation Schedule:

Presentations will be on the following dates. A sign up, please send email to the instructor. In order to keep papers grouped by topic area, final time slot assignments can not be guaranteed to match your preferences.

November 24

P-H. Chiu - A. Lazaric, M. Restelli, and A. Bonarini. "Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods". In Advances in Neural Information Processing Systems 20, pp. 833-840, MIT Press, Cambridge, MA, 2008.
R. Freund - A Clerentin, L Delahoche, E Brassart, C Cauchois, "Mobile robot localization based on multi target tracking", Proceedings of the IEEE International Conference on Robotics and Automation, 2002.
Y. Lin - Jason D. Williams, "Partially observable Markov decision processes for spoken dialog systems". Computer Speech and Language archive, Volume 21 , Pages 393-422, 2007.

November 26

December 1

F. Bokhari - MJ Coates, RD Nowak, "Sequential Monte Carlo inference of internal delays in nonstationary data networks", IEEE Transaction on Signal Processing, 2002.
T. Nguyen - Yasar Becerikli1 and Tayfun M. Karan, "A New Fuzzy Approach For Edge Detection", Proceedings of the 8th International Workshop on Artificial Neural Networks, IWANN 2005.
G. Ghidini - Isard, M and Blake, A, "CONDENSATION - Conditional Density Propagation for Visual Tracking", International Journal Of Computer Vision, Vol. 29, No. 1, Aug. 1998, pp. 5-28.
N. Li - MR Naphade, TS Huang, "A probabilistic framework for semantic video indexing, filtering, and retrieval", IEEE Transactions on Multimedia, 2001.
R. Gottimukkala - Ponte, J. and Croft, W.B. , "A Language Modeling Approach to Information Retrieval," SIGIR 98, pp. 275-281.
L. Zhou - T. Sugimoto, K. Mori, T. Sawada, "ESTIMATION OF MOVING STATUSES BY FUZZY REASONING METHOD USING A TRIPLE AXES ACCELEROMETER", Proceedings of Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006.

December 3

J. Staton - A. McGovern, E. Moss, and A.G. Barto, "Basic-block Instruction Scheduling Using Reinforcement Learning and Rollouts", Proceedings of the 1999 IJCAI workshop on learning and optimization, 1999.
S. Reddy - Jie Ying, T. Kirubarajan, Krishna R. Pattipati, and Ann Patterson-Hine, "A Hidden Markov Model-Based Algorithm for Fault Diagnosis with Partial and Imperfect Tests". IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS - PART C: APPLICATIONS AND REVIEWS, VOL. 30, NO. 4, NOVEMBER 2000.
V. Gopikrishna - Eddy, S. R., "Hidden Markov Models", Current Opinion in Structural Biology 6, pp.361-365, 1996.