January 16 (Tue)
Meeting - discussion topics / schedule / housekeeping
January 23 (Tue)
Knowledge Representation (R&V Ch. 10)
January 25 (Thu)
Continuing with Knowledge Representation (R&V Ch. 10)
January 30 (Tue)
Presentation - Self-organizing Artificial Neural Networks (Dr. Mayfield)
Reference:
The Self-Organizing Map, Teuvo Kohonen, "Proceedings of the IEEE" Volume 78, Issue 9, Sept. 1990 Page(s):1464 - 1480
February 1 (Thu)
Follow-up to Jan 30 discussion
References:
Inside a Self-Organizing Map, Andre Hiotis, "AI Expert", April 1993, pp. 38-43 (Out of print; Contact Sunny for hard copy.)
A Little Knowledge is a Dangerous Thing, Maureen Caudill, "AI Expert", June 1993, pp.16-22 (Out of print; Contact Sunny for hard copy.)
Things you haven't heard about the self-organizing map, Kohonen, T.;
"IEEE International Conference on Neural Networks", 28 March-1 April 1993, vol.3 pp.1147 - 1156
February 6 (Tue)
Presentation - Genetic Programming (Doug Applegate)
Reference:
Genetically Breeding Populations of Computer Programs to Solve Problems in Artificial Intelligence, John R. Koza, "Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence", 1990. p.819-27, xxi+895 pp.
February 8 (Thu)
Follow-up to Feb 6 discussion
February 13 (Tue)
Presentation - Multi-Objective Optimization (David Monismith)
David's pets (Slime molds and Ants) might be introduced.
February 15 (Thu)
Follow-up to Feb 13 discussion
References:
Rank-Density-Based Multiobjective Genetic Algorithm and Benchmark Test Function Study, Lu & Yen, IEEE Transaction on Evolutionary Computation, Vol. 7, No. 4, August 2003, pp. 325-343
Dynamic Multiobjective Evolutionary Algorithm:
Adaptive Cell-Based Rank and Density Estimation, Yen & Lu, IEEE Transaction on Evolutionary Computation, Vol. 7, No. 3, August 2003, pp. 253-274
February 20 (Tue)
Presentation - Reinforcement Learning (Michael Widener)
Reference:
'Reinforcement Learning: An Introduction' by Sutton and Barto, MIT Press, 1998
February 22 (Thu)
Follow-up to Feb 20 discussion - examples from S&B above
February 27 (Tue)
Presentation - Foundations of Optimization (Dr. Chandler)
Resources:
Hans D. Mittelmann's Site (at Arizona State Univ.)
Lester Ingber (The guy who designed and wrote the ASA package;
ASA - Adaptive Simulated Annealing for Nonlinear Systems)
Optimization Online
Optimazation Technology Center
ACM Transactions on Mathematical Software, Resources
March 1 (Thu)
Continuing with Optimization topics: quasi-Newton methods, nonlinear least square (including Levenberg-Marquardt), derivative-free methods, etc.
March 6 (Tue)
Optimization topics continue: multimodal problems,
nonsmooth functions, nonlinear constrained optimization on contious domains, etc.
References:
Optimization by Simulated Annealing by Kirkpatrick, Gelatt and Vecchi, 1983
'Introduction to Stochastic Search and Optimization: Estimation,
Simulation and Control' by James C. Spall, Wiley, 2003
March 8 (Thu)
Presentation - Clustering via Gap Statistic, demo using K-means algorithm and the data sets from the paper of Tibshirani et al. (Sunny Choi)
References:
Estimating the Number of Clusters in Data Set Via Gap Statistic, Tibshirani,Walther and Hastie, JRSSB, 2001
Tutorial on Principal Components
Analysis, Lindsay I. Smith, 2002
March 13 (Tue)
Follow-up to March 8 discussion - Ellipsoid Clustering, applications and methods
References:
Ellipsoid Clustering Machine (bioinformatics software)
Using A Hyper-ellipsoid Clustering Kohonen For Autonomous Mobile ...,
Janet and others, "IEEE", 1997
Adaptive Nearest Neighbor Classifier Based on
Supervised Ellipsoid Clustering, Zhang at al., ???, 2006
March 15 (Thu) - No Meeting
Overlapping with ACM Colloquim - Please see the CS calendar for detail.
March 20, 22 - No meetings
Spring Break
March 27 (Tue)
Presentation - On the Application of Slime Mold to Multi-Objective Optimization Problems (David Monosmith)
March 29 (Thu) - No Meeting
April 3 (Tue)
Follow-up to March 27th discussion
April 5 (Thu)
Presentation - Overview of Baysian Networks (Doug Applegate, tentatively)
References:
Chapter 14, Russell and Norvig
Pearl, J.,
Fusion, Propagation and Structuring in Belief Networks, UCLA Computer Science Department
Technical Report 850022 (R-42); "Artificial Intelligence",
Vol. 29, No. 3, 241-288, September 1986
Judea Pearl's Web site
April 10, 12,17 - No Meeting s
April 19 (Thu)
Introduction To Prolog Programming - Dr. Mayfield
April 24 (Tue)
Prolog Programming continues...
D O U G H N U T S today. Celebrating the end of the semester.
September 1
Arthur L. Samuel, Some Studies in Machine Learning Using the Game of Checkers, IBM Journal of Research and Development 3, July 1959, 211-229
September 8
Shannon, CE (1950), Programming a Computer for Playing Chess, Philosophical Magazine, Vol. 41 (7th series), 256-275
(Here are the figures not shown in the paper.)
If you are interested, here is Edgar Allan Poe's essay
Maelzel's Chess Player,
April 1836 (which was mentioned in Shannon's paper).
September 15
Arthur L. Samuel,
Some Studies in Machine Learning Using the Game of Checkers II -- Recent progress, IBM Journal of Research and Development 11:6, 601–617
September 22
Continuing with the Shannon's and Samuel's paper. (The figures for the Shannon's paper are here.)
September 29
Genetic Programming, 1997 John R. Koza
(We willcome back to this topic after we have seen practical applications. Here is one example that you can play with.)
Michael Widener presents "Bayes Meets Bellman"
October 6
Continue discussing Bayes meets Bellman: The Gaussian Process Approach to Temporal Difference Learning by Engel, Mannor, and Meir.
David Monismith will introduce his research on Multi Objective Optimization (Slime Mold).
October 13
Didn't meet. Rescheduled the discussion for Oct 27.
October 20
No meeting
October 27
Sutton, R (1988), Learning to Predict by the Method of Temporal Differences, Machine Learning, 3, 9-44. We will also use Sutton & Barto's Reinforcement Learning (1998, MIT Press) as a reference.
David Monismith demonstrates the Genetic Algorithm example.
November 6
Briefing on the Student Research Symposium at OU
Continuing with Learning to Predict by the Method of Temporal Differences, Machine Learning, 3, 9-44
November 13
Tibshirani,Walther and Hastie, Estimating the Number of Clusters in Data Set Via Gap Statistic, Published in JRSSB 2000
December 4
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Departmental colloquium: A guest speaker, Pedro Diaz-Gomez (Ph.D. candidate from OU) presents his research Choosing Parameters for Genetic Algorithms (See the abstract).
Please plan to join us for dinner with the speaker after the presentation. |
* Please check the brochure above for the meeting details.
Presentation slides available HERE.
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