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35

JAIR
2006

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Logical Hidden Markov Models

13 years 11 months ago

Logical Hidden Markov Models

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Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and parameter estimation. The resulting representation and algorithms are experimentally evaluated on problems from the domain of bioinformatics.

Kristian Kersting, Luc De Raedt, Tapani Raiko

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Added	13 Dec 2010
Updated	13 Dec 2010
Type	Journal
Year	2006
Where	JAIR
Authors	Kristian Kersting, Luc De Raedt, Tapani Raiko

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