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Book
Metabrain for embedded cognition (MBEC) : color illustrations
Authors: --- --- ---
Year: 2018 Publisher: Cleveland, Ohio : National Aeronautics and Space Administration, Glenn Research Center,

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Book
Markov chains
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ISBN: 0720424607 9780720424607 Year: 1975 Volume: 2 Publisher: Amsterdam North-Holland

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Dissertation
Genpredictie in genomisch DNA op basis van hidden Markov modellen

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Book
Stochastic processes
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Year: 1964 Publisher: San Francisco: Holden-Day,

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Book
Probabilistic analysis of distributed fault-tolerant systems
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Year: 2011 Publisher: Hampton, Va. : National Aeronautics and Space Administration, Langley Research Center,

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Book
Introduction to graph theory
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ISBN: 0582443970 9780582443976 Year: 1979 Publisher: London : Longman,

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Book
Selected topics on continuous-time controlled Markov Chains and Markov Games
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ISBN: 1280669047 9786613645975 1848168497 9781848168497 1848168489 9781848168480 Year: 2012 Publisher: London : Imperial College Press,

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This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class of stochastic control problems in which a single decision-maker wishes to optimize a given objective function. This book is also concerned with Markov games, where two decision-makers (or players) try to optimize their own objective function. Both decision-making processes appear in a large number of applications in economics, operations research, engineering, and computer science, among other areas. An extensive, self-contained, up-to-date analysis of basic o


Book
Foundations of average-cost nonhomogeneous controlled Markov chains
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ISBN: 3030566781 3030566773 Year: 2021 Publisher: Springer International Publishing

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This Springer brief addresses the challenges encountered in the study of the optimization of time-nonhomogeneous Markov chains. It develops new insights and new methodologies for systems in which concepts such as stationarity, ergodicity, periodicity and connectivity do not apply. This brief introduces the novel concept of confluencity and applies a relative optimization approach. It develops a comprehensive theory for optimization of the long-run average of time-nonhomogeneous Markov chains. The book shows that confluencity is the most fundamental concept in optimization, and that relative optimization is more suitable for treating the systems under consideration than standard ideas of dynamic programming. Using confluencity and relative optimization, the author classifies states as confluent or branching and shows how the under-selectivity issue of the long-run average can be easily addressed, multi-class optimization implemented, and Nth biases and Blackwell optimality conditions derived. These results are presented in a book for the first time and so may enhance the understanding of optimization and motivate new research ideas in the area.


Dissertation
The impact of experience : stability of preferences for actually experienced and hypothetical health states related to treatment for breast cancer
Authors: ---
Year: 2000 Publisher: Enschede PrintPartners Ipskamp

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