10-601 Inference in HMMs

From Cohen Courses
Revision as of 09:28, 5 November 2014 by Zivbj (talk | contribs)
(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

Taking home message

  • Why BNs are not enough
  • The layers of HMMs
  • Formal definition of a HMM model
  • Inference with observations
  • Computing the most likely path