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Modèles markoviens pour le mélange des poudres en mélangeur statiquePonomarev, Denis Berthiaux, Henri. Mizonov, Vadim. January 2007 (has links)
Reproduction de : Thèse de doctorat : Génie des procédés : Toulouse, INPT : 2006. / Titre provenant de l'écran-titre. Bibliogr. 107 réf.
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Evaluation of hidden Markov models /Lystig, Theodore C. January 2001 (has links)
Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (p. 186-192).
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Finding approximate POMDP solutions through belief compression /Roy, Nicholas. January 1900 (has links)
Thesis (Ph. D.)--Carnegie Mellon University, 2003. / "August 2003." Includes bibliographical references and index.
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Finitary isomorphisms with finite expected coding times of Markov chains /Mouat, Robert, January 2002 (has links)
Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (leaves 51-52).
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CONTRIBUTIONS TO THE THEORY OF INTERACTING PARTICLE SYSTEMSWaymire, Edward C. January 1976 (has links)
No description available.
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Markov chains and potentials.Fraser, Ian Johnson. January 1965 (has links)
It was first pointed out by Doob and Kakutani the connection between classical potential theory and Brownian motion. In [10] one finds that if P(t,x,A) is the probability transition function, i.e. P(t,x,A) = probability that a particle moves from the point x to the Borel subset A of a set I in time t, then the potential kernal, K(x,A), is defined as follows [...]
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Activities of Daily Living Detection Using Markov ModelsKalra, Love 08 December 2011 (has links)
The healthcare systems are experiencing heavy workload and high cost caused by
ageing population. The assisted monitoring systems for the elderly persons, and
persons with chronic diseases, promises great potential to provide them with care
and comfort at the privacy of their own homes and as a result help reduce healthcare
costs. This requires a monitoring system capable of detecting daily human activities
in living spaces. In this work we discuss different challenges to design such a system,
present an activity data visualization tool designed to study human activities in a
living space and propose a two stage, supervised statistical model for detecting the
activities of daily living (ADL) from non-visual sensor data streams. A novel data
segmentation is proposed for accurate prediction at the first stage. We present a novel
error correction structure for the second stage to boost the accuracy by correcting
the misclassification from the first stage.
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Equilibrium behavior of Markovian network processesKook, Kwangho 08 1900 (has links)
No description available.
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An analytic process for the evaluation of state correctional programsPittman, James Thomas 08 1900 (has links)
No description available.
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Spatial queueing systems and reversible markov processesHuang, Wenzong 08 1900 (has links)
No description available.
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