Difference between revisions of "10-601 HMMs"
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| + | This a lecture used in the [[Syllabus for Machine Learning 10-601 in Fall 2014]] | ||
| + | |||
=== Slides === | === Slides === | ||
| − | + | [http://curtis.ml.cmu.edu/w/courses/images/9/9e/Lecture18-GM.pdf Slides in PDF] | |
=== Readings === | === Readings === | ||
| − | [http://curtis.ml.cmu.edu/w/courses/images/8/89/GM-jordan.pdf Graphical Models by Michael I. Jordan] | + | * [http://curtis.ml.cmu.edu/w/courses/images/8/89/GM-jordan.pdf Graphical Models by Michael I. Jordan] |
=== Taking home message === | === Taking home message === | ||
| − | * | + | * Why BNs are not enough |
| − | * | + | * The layers of HMMs |
| − | * | + | * Formal definition of a HMM model |
| − | + | * Inference with observations | |
| − | * Inference | + | * Computing the most likely path |
| − | * | ||
Revision as of 10:36, 12 August 2014
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
