1 / 7

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
Télécharger la présentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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)

More Related