Lecture 1: August 29, Tuesday



Lecture 2: Sept 1, Friday



Lecture 3: Sept 4, Tuesday




Lecture 4: Sept 8, Friday


Lecture 5: Sept 12, Tuesday


Lecture 6: Sept 15, Friday

Lecture 7: Sept 19, Tuesday


Lecture 8: Sept 22, Friday


Lecture 9: Sept 26, Tuesday


Lecture 10: Sept 29, Friday


Lecture 11: October 3, Tuesday


Lecture 12: October 6, Friday


DATE
 PRESENTER
 NOTES
17-OCT
 Micah Clark 
Injection of Morality into Game Theory

Papers:

1. Minkler, L., and Miceli, T., 2004. "Lying, Integrity, and Cooperation,"
Review of Social Economy, Volume 62, Number 1, pp. 27-50.

2. Bohnet, I., and B. Frey, 1999. "The Sound of Silence in Prisoner's
Dilemma and Dictator Games," Journal of Economic Behavior and Organization,
Number 28, pp. 43-57.

3. Rabin, M., 1993. "Incorporating Fairness into Game Theory and Economics,"
American Economic Review, Number 83, pp 1281-1302.
20-OCT
 Josh Taylor Probabilistic and Statistical Parsing and Grammars

Two papers by Charniak:

- Statistical Parsing with a Context Free Grammar and Word Statistics

- Why natural language processing is now statistical natural language processing
24-OCT Eric Meisner Multi-objective sequential dynamic decision making in the presence of uncertainty
Papers:
[1] E. Altman, Constrained Markov Decision Processes, Chapman & Hall/CRC, London, 1999.
[2] Shie Mannor Nahum Shimkin A Geometric Approach to Multi-Criterion Reinforcement Learning , The Journal of Machine Learning Research archive Volume 5 , (December 2004) Pages: 325 - 360
[3] Gabor, Z., Kalmar, Z., Szepesvari, C., "Multi-criteria reinforcement learning," International Conference on Machine Learning, Madison, WI, July 1998.
27-OCT
 Cancelled Travel
31-OCT
 Steve Berard
 Manipulation planning in the presence of uncertainty.

Papers:
1. "Probabilistic Analysis of Manipulation Tasks: A Conceptual Framework" by Randy C. Brost and Alan D. Christiansen
2. "Orienting Toleranced Polygonal Parts" by "S. Akella and M. T. Mason"
3-NOV
 Nabhendra Bisnik Application of Game Theory to Communication Networks
Papers:
1. Altman, E., Boulogne, T., El-Azouzi, R., Jiménez, T., and Wynter, L. 2006. A survey on networking games in telecommunications. Computers and Operations Research. 33, 2 (Feb. 2006), 286-311.
2. M. Felegyhazi, J.-P. Hubaux and L. Buttyan. Nash equilibria of packet forwarding strategies in wireless ad hoc networks in IEEE Transactions on Mobile Computing (TMC), volume 5, number 5, May 2006
3. M. Cagalj, S. Ganeriwal, I. Aad and J.-P. Hubaux. On selfish behavior in CSMA/CA networks. in Proceedings of IEEE Infocom '05, Miami - FL, USA, March 13-17, 2005
4. M. Felegyhazi and J.-P. Hubaux. Game theory in wireless networks: A tutorial. in EPFL technical report, LCA-REPORT-2006-002, February, 2006
7-NOV
 Cancelled
 Travel
10-NOV
[Exam out]
 Anil Cheriyadat Assumptions and Uncertainities in Tracking Algorithms

Papers:
1. Probabilistic data association methods for tracking complex visual objects
Rasmussen, C.; Hager, G.D.; IEEE Trans. Pattern Analysis and Machine Intelligence Volume 23, Issue 6, June 2001 Page(s):560 - 576
2. Tracking multiple humans in crowded environment
Tao Zhao; Nevatia, R.; IEEE Proc. Computer Vision and Pattern Recognition, 2004 Volume 2, 27 June-2 July 2004 Page(s):II-406 - II-413 Vol.2
14-NOV
[Exam due]
 Utku Gunay Acer 
Packet Forwarding in an Ad-hoc Network of Selfish Nodes


1.	Urpi, M. Bonuccelli, and S. Giordano, "Modeling cooperation in
mobile ad hoc networks: a formal description of selfishness," Proc. of the
1st Workshop on Modeling and Optimization in Mobile, Ad Hoc and Wireless
Networks, March 2003. 

2.	E. Altman, A.A. Kherani, P. Michiardi and R. Molva, "Non-cooperative
forwarding in ad hoc networks," INRIA, Sophia-Antipolis, France, Report no.
5116, February 2004.

3.	V. Srinivasan et al., "Cooperation in wireless ad hoc networks,"
Proc. of IEEE INFOCOM, vol. 2, April 2003, pp. 808-817. 

4.	M. Felegyhazi, L. Buttyan, and J.-P. Hubaux, "Nash equilibria of
packet forwarding strategies in wireless ad hoc networks," IEEE Transactions
on Mobile Computing (TMC), volume 5, number 5, May 2006
17-NOV
 Travis Desell Reconfiguration of large scale computing environments [notes]

1. Autonomic Runtime Manager for Large Scale Adaptive Distributed Applications
Jingmei Yang, Huoping Chen, Salim Hariri, Manish Parashar
High Performance Distributed Computing (HPDC) 2005

2. A Case Study Using Automatic Performance Tuning for Large-Scale Scientific Programs
I-Hsin Chung, Jeffrey K. Hollingsworth
High Performance Distributed Computing (HPDC) 2006

3. Fault-Tolerance, Malleability and Migration for Divide-and-Conquer Applications on the Grid
Gosia Wrzesi´nska, Rob V. van Nieuwpoort, Jason Maassen, Henri E. Bal
International Parallel & Distributed Processing Symposium (IPDPS) 2005

21-NOV
 Zheng Xue Bayesian Networks in Computer Vision and Pattern Recognition
The List of Papers:
1. Hoiem, D.; Efros, A.A.; Hebert, M.; “Putting Objects in Perspective”,
2. Kumar, S.; Hebert, M.; “A hierarchical field framework for unified context-based classification Computer Vision”,

Reference:
1. Eugene Charniak, “Bayesian Networks without Tears”,
2. Kevin Murphy, “A brief introduction to Graphical Models and Bayesian Networks.”
24-NOV
 NO CLASS
 Thanksgiving
28-NOV
 Gabriel Diaz
 Compensation for noisy motor control

Papers:

1. Kording, K. P. and D. M. Wolpert (2004). "Bayesian integration in sensorimotor learning." Nature 427(6971): 244-7.

2. Trommershauser, J., S. Gepshtein, et al. (2005). "Optimal compensation for changes in task-relevant movement variability." J Neurosci 25(31): 7169-78.
1-DEC
 Andrew Shilliday Equilibriums of the poker  game Texas Hold'em.

Papers:

1. The challenge of poker by Billings, Davidson, Schaeffer, Szafron
2. Finding Equilibria in Large Sequential Games of Imperfect Information by Gilpin and Sandholm
5-DEC Christopher Cramer Catching Objects
Papers:
1. Montagne, G., Laurent, M., Durey, A., & Bootsma, R. (1999). Movement reversals in ball catching. Experimental Brain Research, 129(1), 87-92.
2. Peper, C. E., Bootsma, R. J., Mestre, D. R., & Bakker, F. C. (1994). Catching balls: How to get the hand in the right place at the right time. Journal of Experimental Psychology: Human Perception and Performance, 20, 591-612.
8-Dec
 Chun Fai Cheung 
Document Classification

Papers:
1. Support Vector Machines by Joachims, Thorsten. Text Categorization with Support Vector Machines:
Learning with Many Relevant Features. Machine Learning: ECML-98. 10th
European Conference on Machine Learning, p. 137-42 Proceedings. 1998.

2. Naive Bayes by Nigam, Kamal; Maccallum, Andrew Kachites; Thrun, Sebastian and Mitchell,
Tom. Text Classification from Labeled and Unlabeled Documents using EM.
To appear in the Machine Learning Journal 1999.