10-601 Semi-supervised learning
From Cohen Courses
Revision as of 10:25, 13 November 2014 by Wcohen (talk | contribs) (Created page with "This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014 === Slides === * [http://www.cs.cmu.edu/~wcohen/10-601/ssl.pptx Slides in PowerPoint]. === ...")
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
- None
Summary
You should know:
- The difference between transductive and inductive SSL methods.
- How to modify EM and k-means to make them semi-supervised.
- What techniques are used in graph-based SSL.
- What multi-view learning and co-training are.