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Material Detail

The Infinite Factorial Hidden Markov Model

The Infinite Factorial Hidden Markov Model

This video was recorded at 25th International Conference on Machine Learning (ICML), Helsinki 2008. The innite factorial hidden Markov model is a non-parametric extension of the factorial hidden Markov model. Our model denes a probability distribution over an innite num- ber of independent binary hidden Markov chains which together produce an observable sequence of random variables. Central to our model is a new type of non-parametric prior distribution inspired by the Indian Buf- fet Process which we call the Markov Indian Buet Process.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 8, 2015
Date Modified in MERLOT:
February 8, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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