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Logistics: My office hours: T, Th 4-5pm or by appointment

CS 446/546: Advanced Topics in Machine Learning. Logistics: My office hours: T, Th 4-5pm or by appointment Class Web page: http://www.cs.pdx.edu/~mm/aml2010/index.html All slides will be posted to Web page Class mailing list: aml2010@cs.pdx.edu. Course work.

bernard-ellison
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Logistics: My office hours: T, Th 4-5pm or by appointment

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  1. CS 446/546: Advanced Topics in Machine Learning • Logistics: • My office hours: T, Th 4-5pm or by appointment • Class Web page: http://www.cs.pdx.edu/~mm/aml2010/index.html • All slides will be posted to Web page • Class mailing list: aml2010@cs.pdx.edu

  2. Course work • Reading (approx. two papers per week) • Discussion: Each student will lead discussion during one class period: • Overview of topic/method • Discussion of paper(s) related to topic/method • Project: Each student will do a research project, write a paper, give a 15-20-minute talk on their project. (Aim: publishable paper) • Note: ICML: In Seattle, summer 2011. Submissions are due in early 2011. • Reviewing: Each student will review three other students’ papers

  3. Grading Students will be graded on their class presentations, class participation, and final project talk and paper.

  4. Dates • One-page project proposal, with 4+ paper literature review list, due by Tuesday April 6 • First draft of paper due by Thursday May 27, assigned to reviewers • Reviews due by Thursday June 3 • Paper presentations Tuesday June 1, Thursday June 3, Monday June 7 • Final papers due by Friday June 11

  5. Interests / Topics / Current Projects

  6. Project proposal

  7. Reading assignment S. Wooldridge, Bayesian Belief Networks (link on class Web page)

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