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).

• Eddy, S. R., "Hidden Markov Models", Current Opinion in Structural Biology 6, pp.361-365, 1996.
• 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.
• MJ Coates, RD Nowak, "Sequential Monte Carlo inference of internal delays in nonstationary data networks", IEEE Transaction on Signal Processing, 2002.
• Ponte, J. and Croft, W.B. , "A Language Modeling Approach to Information Retrieval," to appear in SIGIR 98, pp. 275-281.
• MR Naphade, TS Huang, "A probabilistic framework for semantic video indexing, filtering, and retrieval", IEEE Transactions on Multimedia, 2001
• 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.
• 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.
• 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.
• 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.

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 30

• Danielle Clement
  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.
• Brent Lagesse
  Y Zhang, Q Ji, CG Looney. Active Information Fusion for Decision Making Under Uncertainty, the Fifth International Conference on Information Fusion, 2002.

December 5

• Jun-Won Ho
  Jaeyeon Jung Paxson, V. Berger, A.W. Balakrishnan, H. Fast Portscan Detection Using Sequential Hypothesis Testing. IEEE Symposium on Security and Privacy, 2004.
• Hyun Lee
  N. Roy, A. Roy, K. Basu and S. K. Das, A Cooperative Learning Framework for Mobility-Aware Resource Management in Multi-Inhabitant Smart Homes. Proceedings of 2nd Annual IEEE International Conference on Mobile and Ubiquitous Systems: Networking and Services, San Diego, California, pp. 393-403, July 2005.
• Kunal Shah
  Sadagopan, M Singh, B Krishnamachari. Decentralized Utility-based Sensor Network Design. Mobile Networks and Applications 11(3):341-350, 2006.

December 7

• Sagar Tamhane
  J.-M. François and G.Leduc. Learning movement patterns in mobile networks: a generic approach. In Proceeding of European Wireless Conference’04, pages 128-134, February 2004.
• Jeremy Brown
  Hao Guo. A Hidden Markov Model Fingerprint Matching Approach. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 2005.
• Robin Michael
  Jelle R. Kok, Pieter Jan 't Hoen, Bram Bakker, and Nikos Vlassis. Utile coordination: learning interdependencies among cooperative agents. Proceedings of the IEEE Symposium on Computational Intelligence and = Games (CIG), pp. 29-36, Colchester, United Kingdom, April 2005.