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]. === ...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

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.