Detection of bursts in extracellular spike trains using hidden semi-Markov point process models

By Tokdar Surya   Xi Peiyi   Kelly Ryan   Kass Robert  

Journal of Computational Neuroscience, Vol. 29, Iss. 1-2, 2010-08 ,pp. : 203-212

Springer Publishing Company

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Discrete Time Non-Homogeneous Semi-Markov Reliability Transition Credit Risk Models and the Default Distribution Functions

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Computational Economics, Vol. 38, Iss. 4, 2011-11 ,pp. : 465-481

Springer Publishing Company

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Towards a unified view of bisimulation: a comparative study

By Roggenbach M.   Majster-Cederbaum M.  

Theoretical Computer Science, Vol. 238, Iss. 1, 2000-05 ,pp. : 81-130

Elsevier

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Semi-Markov conditional random fields for accelerometer-based activity recognition

By Vinh La  

Applied Intelligence, Vol. 35, Iss. 2, 2011-10 ,pp. : 226-241

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A robust hidden semi-Markov model with application to aCGH data processing

By Ding Jiarui   Shah Sohrab  

International Journal of Data Mining and Bioinformatics, Vol. 8, Iss. 4, 2013-09 ,pp. : 427-442

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