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Probabilistic Analysis of Belief Functions, Ivan Kramosil


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Автор: Ivan Kramosil
Название:  Probabilistic Analysis of Belief Functions
ISBN: 9781461351450
Издательство: Springer
Классификация:


ISBN-10: 1461351456
Обложка/Формат: Paperback
Страницы: 214
Вес: 0.34 кг.
Дата издания: 21.09.2012
Серия: IFSR International Series in Systems Science and Systems Engineering
Язык: English
Размер: 234 x 156 x 13
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии

Probabilistic robotics

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 95930.00 T
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Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.


Probabilistic Techniques in Analysis

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
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Цена: 80080.00 T
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Описание: Exploring the use of techniques drawn from probability research to tackle problems in mathematical analysis, this study includes discussion of the construction of the Martin boundary, Dahlberg`s Theorem, probabilistic proofs of the boundary Harnack principle, and much more.

Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective

Автор: Portinale Luigi & Codetta Raiteri Daniele
Название: Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective
ISBN: 9814612030 ISBN-13(EAN): 9789814612036
Издательство: World Scientific Publishing
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Цена: 110880.00 T
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Описание:

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.

Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.


Probabilistic Methods of Signal and System Analysis

Автор: Cooper, George R.; McGillem, Clare D.
Название: Probabilistic Methods of Signal and System Analysis
ISBN: 0195123549 ISBN-13(EAN): 9780195123548
Издательство: Oxford Academ
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Цена: 242870.00 T
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Описание: Originally published in 1971, this text is intended for signals and systems courses which emphasize probability. It provides an introduction to probability theory, statistics, random processes and the analysis of systems with random inputs. This edition has been updated and uses Matlab.

Elements of Probabilistic Analysis with Applications

Автор: Gheorghe Constantin; Ioana Istratescu
Название: Elements of Probabilistic Analysis with Applications
ISBN: 9027728380 ISBN-13(EAN): 9789027728388
Издательство: Springer
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Цена: 102480.00 T
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Probabilistic and Stochastic Methods in Analysis, with Applications

Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry
Название: Probabilistic and Stochastic Methods in Analysis, with Applications
ISBN: 0792318048 ISBN-13(EAN): 9780792318040
Издательство: Springer
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Цена: 437900.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains three expositions on wavelets, frames and their applications. This book includes the relation between probability and partial differential equations, including probabilistic representations of solutions to elliptic and parabolic PDEs.

Probabilistic Risk Analysis

Автор: Tim Bedford
Название: Probabilistic Risk Analysis
ISBN: 0521773202 ISBN-13(EAN): 9780521773201
Издательство: Cambridge Academ
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Цена: 98210.00 T
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Описание: Drawing on extensive experience, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgement and uncertainty propagation. The relationship with decision making is highlighted.

Probabilistic Reasoning in Intelligent Systems,

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 63990.00 T
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.


Probabilistic Logics and Probabilistic Networks

Автор: Rolf Haenni; Jan-Willem Romeijn; Gregory Wheeler;
Название: Probabilistic Logics and Probabilistic Networks
ISBN: 9400734433 ISBN-13(EAN): 9789400734432
Издательство: Springer
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Цена: 102480.00 T
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Описание: Probabilistic Logic and Probabilistic Networks presents a groundbreaking framework within which various approaches to probabilistic logic naturally fit. Additionally, the text shows how to develop computationally feasible methods to mesh with this framework.

Probabilistic Theory of Mean Field Games with Applications I

Автор: Ren? Carmona; Fran?ois Delarue
Название: Probabilistic Theory of Mean Field Games with Applications I
ISBN: 3319564374 ISBN-13(EAN): 9783319564371
Издательство: Springer
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Цена: 129970.00 T
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Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Probabilistic Theory of Mean Field Games with Applications II

Автор: Ren? Carmona; Fran?ois Delarue
Название: Probabilistic Theory of Mean Field Games with Applications II
ISBN: 3319564358 ISBN-13(EAN): 9783319564357
Издательство: Springer
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Цена: 130430.00 T
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Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.

Probabilistic and Stochastic Methods in Analysis, with Applications

Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry
Название: Probabilistic and Stochastic Methods in Analysis, with Applications
ISBN: 9401052395 ISBN-13(EAN): 9789401052399
Издательство: Springer
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Цена: 279500.00 T
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Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Italy, July 14-27, 1991


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