2006 LogicalHiddenMarkovModels

• (Kersting et al., 2006) ⇒ Kristian Kersting, Luc De Raedt, Tapani Raiko. (2006). “Logical Hidden Markov Models.” In: Journal of Artificial Intelligence Research, 25(1):425–456, (JAIR 2006)

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~58 http://scholar.google.com/scholar?cites=13099604522333241290

Quotes

Abstract

• 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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2006 LogicalHiddenMarkovModels	Kristian Kersting Luc De Raedt Tapani Raiko			Logical Hidden Markov Models			http://www.aaai.org/Papers/JAIR/Vol25/JAIR-2512.pdf