CSI 991

Recent articles in computational learning and computational statistics

Fridays 4:00pm -- 5:00pm, room varies.
Research I, Room 302

CSI 991 Section X01

Contact:
jgentle@gmu.edu

The seminar will be conducted in the form a journal club.
The seminar will meet approximately 6 times during the summer term.

Students who are enrolled in the class will be required to make two 30-minute presentations summarizing a recent article in computational learning or computational statistics. ("Recent" means 2005 or later.)

The presentations can be simple summaries, or, preferably, critical reviews citing other work or possible approaches.

Schedule

• May 25
  Organization and plans.

  Find online articles at http://library.gmu.edu/
  Click on "E-Journals" and then enter keyword such as
  "machine learning", "statistical learning", "computational statistics", etc.
  Assignment due May 31:Select an article for your first presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.

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• June 8 Presentations of first article summaries.
  The articles are
  • Bati, Firdu
    Novel Algorithm for Bayesian Network Parameter Learning with Informative Prior Constraints.
  • Boggs, Thomas
    Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts.
  • Husdale, John
    Validation of Software for Bayesian Models Using Posterior Quantiles.
  • Metuge, Collins
    Global Data Mining: An Empirical Study of Current Trends, Future Forecasts and Technology Diffusions.
  
  Assignment due June 14:Select an article for your second presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.
  

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• June 15 Continuation of presentations of first article summaries.
  

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• June 22 No meeting.
  

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• June 29 Presentations of second article summaries.
  The articles are
  • Bati, Firdu
    A Statistical Method for Structure Learning of Bayesian Networks from Data.
  • Boggs, Thomas
    Binary Tree of Posterior Probability Support Vector Machines for Hyperspectral Image Classification.
  • Husdale, John
    Multiresolution Genetic Algorithms and Markov Chain Monte Carlo.
  • Metuge, Collins
    The Effect of Simulation Games on the Learning of Computational Problem Solving.
  
  

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• July 6 Continuation of presentations of second article summaries.
  

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