Global ETD Search

51	Joint-space adaptation technique for robust continuous speech recognition / Wang, Chien-Jen. January 1997 (has links) Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (leaves [81]-89).
52	A bayesian approach to motif-based protein modeling / Grundy, William Noble. January 1998 (has links) Thesis (Ph. D.)--University of California, San Diego, 1998. / Vita. Includes bibliographical references (leaves 167-177).
53	Automating inhabitant interactions in home and workplace environments through data-driven generation of hierarchical partially-observable Markov decision processes Youngblood, Gregory Michael. Unknown Date (has links) Thesis (Ph.D.)--The University of Texas at Arlington, 2005. / Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6746. Advisers: Lawrence B. Holder; Diane J. Cook.
54	A study of some variations on the hidden Markov modelling approach to speaker independent isolated word speech recognition / Leung, Shun Tak Albert. January 1990 (has links) Thesis (M. Phil.)--University of Hong Kong, 1990.
55	Optimal strategies for electric energy contract decision making / Song, Haili. January 2000 (has links) Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 87-95).
56	Convergence analysis of MCMC method in the study of genetic linkage with missing data Fisher, Diana. January 2005 (has links) Theses (M.A.)--Marshall University, 2005. / Title from document title page. Includes abstract. Document formatted into pages: contains x, 75 p. Bibliography: p. 56-59. Monte Carlo method. Markov processes.
57	Piecewise linear Markov decision processes with an application to partially observable Markov models Sawaki, Katsushige January 1977 (has links) This dissertation applies policy improvement and successive approximation or value iteration to a general class of Markov decision processes with discounted costs. In particular, a class of Markov decision processes, called piecewise-linear, is studied. Piecewise-linear processes are characterized by the property that the value function of a process observed for one period and then terminated is piecewise-linear if the terminal reward function is piecewise-linear. Partially observable Markov decision processes have this property. It is shown that there are e-optimal piecewise-linear value functions and piecewise-constant policies which are simple. Simple means that there are only finitely many pieces, each of which is defined on a convex polyhedral set. Algorithms based on policy improvement and successive approximation are developed to compute simple approximations to an optimal policy and the optimal value function. / Business, Sauder School of / Graduate Piecewise linear topology Markov processes
58	On knowledge representation and decision making under uncertainty Tabaeh Izadi, Masoumeh. January 2007 (has links) No description available. Planning -- Mathematical models. Markov processes.
59	Occupation Times of Continuous Markov Processes Korpas, Agata K. 28 June 2006 (has links) No description available. Mathematics Markov processes Occupation times
60	On estimation for a combined Markov and semi-Markov model with censoring / Yeo, Sungchil January 1987 (has links) No description available. Statistics Markov processes--Mathematical models

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