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Markov Decision Processes and Stochastic Positional Games

Posted By: hill0

Date: 15 Jan 2024 06:00:39

Markov

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"Markov Model: Theory and Applications" ed. by Hammad Khalil, Abuzar Ghaffari

Posted By: exLib

Date: 30 Nov 2023 23:59:52

"Markov Model: Theory and Applications" ed. by Hammad Khalil, Abuzar Ghaffari
ITexLi | 2023 | ISBN: 1837697205 9781837697205 1837697213 9781837697212 1837697221 9781837697229 | 126 pages | PDF | 8 MB

This volume takes you on a fascinating journey into the world of math and its many uses. Experts in the field show how math can solve real-world problems, from managing inventories to making decisions. You'll also learn about things like optics and programming.

Science Mathematics Physics Computer Engineering Technology DSP Markov Education Marketing Model Bayesian Numerical Analysis Statistical Modeling

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Analysis and Design of Markov Jump Discrete Systems

Posted By: hill0

Date: 17 Nov 2023 10:26:31

Markov Analysis

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Stochastic Neutron Transport

Posted By: hill0

Date: 16 Nov 2023 13:25:06

Markov

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Continuous Parameter Markov Processes and Stochastic Differential Equations

Posted By: hill0

Date: 16 Nov 2023 12:39:29

Maths Markov

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Markov Chains For Programmers

Posted By: hill0

Date: 1 Jul 2023 09:30:30

Markov Chains For Programmers
English | 2022 | ISBN: n/a | 68 Pages | PDF | 2.5 MB

Markov

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Ergodic Behavior of Markov Processes

Posted By: arundhati

Date: 2 Jun 2023 03:25:11

Science & Math Mathematics Processes Markov

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Markov Models: An Introduction to Markov Models

Posted By: roxul

Date: 13 May 2023 10:46:15

Computers & Technology Software Models Markov

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Computing System Reliability: Models and Analysis

Posted By: AvaxGenius

Date: 27 Apr 2023 16:21:00

Computing systems are of growing importance because of their wide use in many areas including those in safety-critical systems. This book describes the basic models and approaches to the reliability analysis of such systems. An extensive review is provided and models are categorized into different types. Some Markov models are extended to the analysis of some specific computing systems such as combined software and hardware, imperfect debugging processes, failure correlation, multi-state systems, heterogeneous subsystems, etc. One of the aims of the presentation is that based on the sound analysis and simplicity of the approaches, the use of Markov models can be better implemented in the computing system reliability.

Debugging Hardware calculus distributed computing Markov Mathematical Modeling Industrial Mathematics Computer Science Processor Architectures Mathematical Logic and Foundations Software Engineering Computing System Reliability Computing System Reliability

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Measure-valued Branching Markov Processes, 2nd Edition

Posted By: hill0

Date: 18 Mar 2023 16:32:47

Measure-valued Branching Markov Processes, 2nd Edition

Maths Markov

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Stationary Processes and Discrete Parameter Markov Processes

Posted By: hill0

Date: 6 Dec 2022 06:07:10

Markov

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Markov Chains on Metric Spaces: A Short Course

Posted By: hill0

Date: 25 Nov 2022 06:35:19

Markov Maths

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Das Hidden-Markov-Modell

Posted By: AvaxGenius

Date: 26 Oct 2022 04:19:37

Im Mittelpunkt dieses essentials steht eine Einführung in ein bekanntes statistisches Modell, das Hidden-Markov-Modell. Damit können Probleme bewältigt werden, bei denen aus einer Folge von Beobachtungen auf die wahrscheinlichste zustandsspezifische Beschreibung geschlossen werden soll. Die Anwendungen des Hidden-Markov-Modells liegen hauptsächlich in den Bereichen Bioinformatik, Computerlinguistik, maschinelles Lernen und Signalverarbeitung. In diesem Büchlein werden die beiden zentralen Problemstellungen in HMMs behandelt. Das Problem der Inferenz wird mit dem berühmten Viterbi-Algorithmus gelöst, und das Problem der Parameterschätzung wird mit zwei bekannten Methoden angegangen (Erwartungsmaximierung und Baum-Welch).

Science Markov Markov Process Stochastic Modelling Stochastic Processes Mathematics

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Probability, Random Processes, and Ergodic Properties

Posted By: AvaxGenius

Date: 21 Oct 2022 11:22:14

Probability, Random Processes, and Ergodic Properties is for mathematically inclined information/communication theorists and people working in signal processing. It will also interest those working with random or stochastic processes, including mathematicians, statisticians, and economists.

Science Probability Random Processes Ergodic Properties Markov linear optimization Communications Engineering Engineering Image Processing Dynamical Systems Coding Mathematics

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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

Posted By: hill0

Date: 24 Sep 2022 19:45:40

Statistics Markov

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