• Classroom: ICS 243
  
• Day: Wednesday
• Time: 1:00 - 3:50pm
• Instructor: Rina Dechter - dechter@ics.uci.edu

The seminar will focus on most recent research papers in graph-based reasoning and knowledge represntation, as well as on exploring connection with two application areas, 1. text-mining and 2. transportation studies. Each student will be engaged in a research project and will be required to present relevant papers from the literature as well as their own findings. Students will also need to provide a final report for their research project.

1. The role of graphical models in planning and scheduling; planning under uncertainty (MDPs, POMDPS);
2. Text-mining: we will study recent papers.
3. The transportation domain: Can graphical models technology (probabilistic or deterministic) be applied?
   Transporation Papers
4. ICAPS'04 Papers
5. [ PDF | PS ] Guoqiang Pan, Moshe Y. Vardi. "Search vs. Symbolic Techniques in Satisfiability Solving".
6. [ PDF ] Jonathan S. Yedidia, William T. Freeman, and Yair Weiss. Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms
7. [ PDF ] Lin Liao, Dieter Fox, Henry KautzJonathan. Learning and Inferring Transportation Routines
8. Dynamic Bayesian Networks: Representation, Inference and Learning Kevin Murphy's PhD Thesis.
9. Inferring High-Level Behavior from Low-Level Sensors Donald J. Patterson, Lin Liao, Dieter Fox, and Henry Kautz.

• AND/OR search for mixed networks and #CSP - presented by Robert Mateescu.
• Albatross model (see 3 above) - presented by Robert Mateescu.
• Craig Rindt's Thesis - presented by Vibhav Gogate.
• Learning and Inferring Transportation Routines, Lin Liao, Dieter Fox and Henry Kautz - presented by Vibhav Gogate.
• Inferring High-Level Behavior from Low-Level Sensors, Don Peterson, Lin Liao, Dieter Fox, Henry Kautz - presented by Radu Marinescu.
• HAPP, W. W. Recker - presented by Jeremiah Jilk.