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hidden Markov model

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hidden Markov model [¦hid·ən ′mär·kəf ‚mäd·əl]
(mathematics)
A finite-state machine that is also a doubly stochastic process involving at least two levels of uncertainty: a random process associated with each state, and a Markov chain, which characterizes the probabilistic relationship among the states in terms of how likely one state is to follow another.
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Krishnamurthy, "Algorithms for optimal scheduling of hidden Markov model sensors," IEEE Trans.
Q-learning-based adaptive waveform selection in cognitive radar by Wang, Bin; Wang, Jinkuan; Song, Xin; Liu, Fulai / International Journal of Communications, Network and Systems Sciences (IJCNS)
Among the 58 topics are self-healing, ambulatory patient monitoring, a real-time and continuous arousal monitor, the classification of physical interactions between two subjects, fall detection using gyroscopes and accelerometer-derived posture information, monitoring rowing techniques, the real-time motion capture of two-body interactions, and a distributed hidden Markov model for fine-grained annotation in body sensor networks.
Wearable and implantable body sensor networks; proceedings by SciTech Book News
1 Introduction After obtaining satisfactory results of the preliminary experiment with applying a second order hidden Markov model part-of-speech/morphosyntactic tagging paradigm by using TnT tagger on Croatian texts, we decided to attempt reaching a higher level of accuracy based on these results.
Improving part-of-speech tagging accuracy for Croatian by ... by Agic, Zeljko; Dovedan, Zdravko; Tadic, Marko / Informatica
 
 
 
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