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Line 11: === Abstract Hidden Markov Model === An Abstract Hidden Markov Model (AHMM) <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, 2002.</ref> is an extension of a [[Hierarchical hidden Markov model\|Hierarchical Hidden Markov Model]] that allows the choice of how a high-level activity (policy) will be decomposed into a sequence of lower-level activities (policies) to be dependent on the current state of the environment. Thus, simple types of context-sensitive behaviors can be captured by an AHMM <ref name="RecognitionOfHumanActivityThroughHierarchicalStochasticLearning"> S. Lu ̈hr, H. H. Bui, S. Venkatesh, and G. A. W. West [http://dl.acm.org/citation.cfm?id=826390 Recognition of Human Activity through Hierarchical Stochastic Learning]. PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003 </ref> == References ==

Hierarchical Markov model: Difference between revisions