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Probabilistic and Statistical Methods in Computer Science, Jean-Fran?ois Mari; Ren? Schott


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Автор: Jean-Fran?ois Mari; Ren? Schott
Название:  Probabilistic and Statistical Methods in Computer Science
ISBN: 9781441948779
Издательство: Springer
Классификация: ISBN-10: 1441948775
Обложка/Формат: Paperback
Страницы: 236
Вес: 0.36 кг.
Дата издания: 03.12.2010
Язык: English
Размер: 234 x 156 x 14
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Probabilistic and Statistical Methods in Computer Science presents a large variety of applications of probability theory and statistics in computer science and more precisely in algorithm analysis, speech recognition and robotics. It is written on a self-contained basis: all probabilistic and statistical tools needed are introduced on a comprehensible level. In addition all examples are worked out completely.
Most of the material is scattered throughout available literature. However, this is the first volume that brings together all of this material in such an accessible format.
Probabilistic and Statistical Methods in Computer Science is intended for students in computer science and applied mathematics, for engineers and for all researchers interested in applications of probability theory and statistics. It is suitable for self study as well as being appropriate for a course or seminar.



Probabilistic robotics

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 14390.00 р.
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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 Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment

Автор: Mohammad Modarres, Mehdi Amiri, Christopher Jackso
Название: Probabilistic Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment
ISBN: 1119388635 ISBN-13(EAN): 9781119388630
Издательство: Wiley
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Цена: 26128.00 р.
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Описание: The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test data. The book includes a large number of very useful examples to help readers understand complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.

Statistical and Probabilistic Models in Reliability

Автор: Nikolaos Limnios; Dumitru Cezar Ionescu
Название: Statistical and Probabilistic Models in Reliability
ISBN: 1461272807 ISBN-13(EAN): 9781461272809
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997.

Heavy-Tail Phenomena: Probabilistic And Statistical Modeling

Название: Heavy-Tail Phenomena: Probabilistic And Statistical Modeling
ISBN: 1441920242 ISBN-13(EAN): 9781441920249
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models.

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: 65685.00 р.
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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.

Formal Methods for Real-Time and Probabilistic Systems

Автор: Jost-Pieter Katoen
Название: Formal Methods for Real-Time and Probabilistic Systems
ISBN: 3540660100 ISBN-13(EAN): 9783540660101
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Selected papers and invited contributions from the 5th International AMAST Workshop on Formal Methods for Real Time and Probabilistic Systems. Topics covered include verification and model checking for probabilistic systems, semantics of probabilistic process calculi and stochastic process algebra.

Probabilistic Methods In The Theory Of Structures: Strength Of Materials, Random Vibrations, And Random Buckling

Автор: Elishakoff Isaac
Название: Probabilistic Methods In The Theory Of Structures: Strength Of Materials, Random Vibrations, And Random Buckling
ISBN: 9813149841 ISBN-13(EAN): 9789813149847
Издательство: World Scientific Publishing
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Цена: 26136.00 р.
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Описание: The first edition of this book appeared over three decades ago (Wiley-Interscience, 1983), whereas the second one saw light on the verge of new millennium (Dover, 1999). This is third, corrected and expanded edition that appears in conjunction with its companion volume .Thus, the reader is able to both get acquainted with the theoretical material and be able to master some of the problems, following Chinese dictum: I hear and I forget. I see and I remember. I do and I understand -- Confucius.The main idea of the book lies in the fact that three topics: probabilistic strength of materials, random vibrations, and probabilistic buckling are presented in a single package allowing one to see the forest in between the trees. Indeed, these three topics usually are presented in separate manners, in different specialized books. Here, the reader gets a feeling of true unity of the subject at large in order to appreciate that in the end what one wants is reliability of the structure, in conjunction with its operating conditions.As the author describes in the Preface of the second edition, this book was not conceived ab initio, as a book that author strived to compose. Rather, it was forced, as it were, upon me due to two reasons. One was rather a surprising but understandable requirement in the venerable Delft University of Technology, The Netherlands to prepare the lecture notes for students with the view of reducing skyrocketing costs of acquisition of textbooks by the students. The other one was an unusually warm acceptance of the notes that the author prepared while at Delft University of Technology and later in Haifa, at the Technion-Israel Institute of Technology by the legendary engineering scientist Warner Tjardus Koiter (1914-1997). The energy necessary to prepare the second and third editions came from enthusiastic reviews that appeared in various sources. Author embraced the simplicity of exposition as the main virtue following Isaac Newton's view that 'Truth is ever to be found in simplicity, and not in the multiplicity and confusion of things.'

Modern Probabilistic Methods for Analysis of Telecommunication Networks

Автор: Alexander Dudin; Valentina Klimenok; Gennadiy Tsar
Название: Modern Probabilistic Methods for Analysis of Telecommunication Networks
ISBN: 3642359795 ISBN-13(EAN): 9783642359798
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the International Conference on Modern Probabilistic Methods for Analysis of Telecommunication Networks, Belarusian Winter Workshop in Queueing Theory, BWWQT 2013, held in Minsk, Belarus, in January 2013.

Probabilistic Methods in Applied Physics

Автор: Paul Kree; W. Wedig
Название: Probabilistic Methods in Applied Physics
ISBN: 3662140063 ISBN-13(EAN): 9783662140062
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book is an outcome of a European collaboration on applications of stochastical methods to problems of science and engineering. In particular the volume covers: simulation, stability theory, Lyapounov exponents, stochastic modelling, statistics on trajectories, parametric stochastic control, Fokker Planck equations, and Wiener filtering.

Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Probabilistic Mechanics of Quasibrittle Structures

Автор: Bazant
Название: Probabilistic Mechanics of Quasibrittle Structures
ISBN: 1107151708 ISBN-13(EAN): 9781107151703
Издательство: Cambridge Academ
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Цена: 22493.00 р.
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Описание: This book presents a mathematical exposition of the strength and lifetime statistics of structures made of brittle heterogeneous materials. This subject is of paramount importance for analysis and design of many man-made structures with applications to civil, mechanical, aerospace, geotechnical, ocean, offshore, petroleum, naval, nuclear, mining, biomedical and materials engineering.


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