Two Lithuanian recognizers using the word based and phoneme-based hidden Markov models
(HMM) were prepared for the implementation of the hybrid recognizer.
Clements, "Sentence-level subjectivity detection using neuro-fuzzy and hidden markov models
," in Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis in (NAACLHLT '13), pp.
Rabiner, "Tutorial on hidden Markov models
and selected applications in speech recognition," Proceedings of the IEEE, vol.
Hidden Markov Models
. HMMs are generally basics for developing probabilistic models of linear order.
 present a classification algorithm using hidden Markov models
. In the paper, recognition of targets based on target Doppler signatures is described.
The current study explored to predict driver's eye-off road duration in different driving scenarios by building Hidden Markov Models
(HMM) using driver's visual behavior.
The work of  applies another well-known machine learning technique, Hidden Markov Models
, to the detection of insider threats.
2010: depmixS4: An R package for hidden Markov models
. Journal of Statistical Software 36(7): 1-21.
In addition to three-state hidden Markov models
we have three different states: Expansion, transition, contraction.
 were among the first to use hidden Markov Models
in a video game AI context.