Hierarchical Markov model: Difference between revisions

Revision as of 22:22, 16 December 2011

Revision as of 22:33, 16 December 2011

Line 7:

=== Hierarchical Hidden Markov Model ===

A [[Hierarchical hidden Markov model|Hierarchical Hidden Markov Model]] (HHMM) <ref name="HHMM">S. Fine and Y. Singer [http://dl.acm.org/citation.cfm?id=325879 The hierarchical hidden markov model: Analysis and applications]. Journal of Machine Learning, vol. 32, 1998.</ref> is an extension of a [[Hidden Markov model|Hidden Markov Model]] that contains states at different levels of abstraction. Thus, the structure of an HHMM is more suitable for representing the hierarchy in human activities. For instance, the activity of eating dinner could be decomposed in the activities of preparing foodingredients, cooking, cleaning, and washing dishes. A corresponding HHMM would have a high-level state corresponding to the activity of eating dinner and low-level states corresponding to the sub-activities. The reader is referred to the article on [[Hierarchical hidden Markov model|Hierarchical Hidden Markov Models]] for more detailed information.

=== Abstract Hidden Markov Model ===

An Abstract Hidden Markov Model <ref name="AHMM">H. H. Bui, S. Venkatesh, and G. West [http://dl.acm.org/citation.cfm?id=1622824 Policy recognition in the abstract hidden markov model]. Journal of Artificial Intelligence Research, vol. 17, p. 451–499, December 2002.</ref>

== References ==