1. Logistics: –My office hours: T, Th 4-5pm or by appointment –Class Web page: http://www.cs.pdx.edu/~mm/aml2010/index.htmlhttp://www.cs.pdx.edu/~mm/aml2010/index.html All slides will be posted to Web page –Class mailing list: aml2010@cs.pdx.eduaml2010@cs.pdx.edu CS 446/546: Advanced Topics in Machine Learning

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 NetworksBayesian Belief Networks (link on class Web page)