10-601 Inference in HMMs
From Cohen Courses
Revision as of 10:38, 12 August 2014 by Zivbj (talk | contribs) (Created page with "This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014 === Slides === [http://curtis.ml.cmu.edu/w/courses/images/9/9e/Lecture18-GM.pdf Slides in PD...")
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
