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Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine. [PDF]
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Linear programming in tector criterion markov and semi-Markov decision processes
Optimization, 1989Optimality problems in infinite horizon, discrete time, vector criterion Markov and semi-Markov decision processes are expressed as standard problems of multiobjective linear programming. Processes with discounting, absorbing processes and completely ergodie processes without discounting are investigated.
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Dynamic Probabilistic Systems: Vol. 1: Markov Models; Vol. II: Semi-Markov and Decision Processes
Journal of the Operational Research Society, 1973(1973). Dynamic Probabilistic Systems: Vol. 1: Markov Models; Vol. II: Semi-Markov and Decision Processes. Journal of the Operational Research Society: Vol. 24, No. 2, pp. 327-329.
N. A. J. Hastings, Ronald A. Howard
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Adaptive Markov and semi-Markov decision processes: a weak contrast function approach
Proceedings of the 27th IEEE Conference on Decision and Control, 2003The authors consider the control of dynamic systems modeled as a family of either Markov or semi-Markov processes, parameterized by an unknown parameter alpha which takes values in a given finite set A. The true parameter alpha /sup 0/, which represents the real system, belongs to A.
R.A. Milito, J.B. Cruz
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Optimal threshold probability and expectation in semi-Markov decision processes
Applied Mathematics and Computation, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sakaguchi, Masahiko, Ohtsubo, Yoshio
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