Probabilistic Symmetries and Invariance Principles, Olav Kallenberg

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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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.

Автор: Sakurai Jun John, Sakurai J. J.
Название: Invariance Principles and Elementary Particles
ISBN: 0691624801 ISBN-13(EAN): 9780691624808
Издательство: Wiley
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Цена: 58080.00 T
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Описание: J. J. Sakurai`s treatment of various elementary particle phenomena, is written for those not completely familiar with field theory who wish to gain insight into theoretical problems. Since the manuscript for his book was completed, a very important development has taken place in particle physics-the discovery of the p, w, and n mesons: in view of t

Автор: R. Sato; T. Nono
Название: Invariance Principles and the Structure of Technology
ISBN: 3540120084 ISBN-13(EAN): 9783540120087
Издательство: Springer
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Описание: These frontiers include the areas of technical change and productivity, technology and preference, economic conservation laws, comparative statics and integrability conditions, index number problems, and the general theory of ~ observable market behavior (Sato [1980, 1981], Nono [1971], Sato and N~no [1983], Russell [1983]).

Автор: Alan McKane; Michel Droz; Jean Vannimenus; Dietric
Название: Scale Invariance, Interfaces, and Non-Equilibrium Dynamics
ISBN: 0306450054 ISBN-13(EAN): 9780306450051
Издательство: Springer
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Описание: Proceedings of a NATO ASI held in Cambridge, England, June 20-30, 1994

Автор: Yuta Michimura
Название: Tests of Lorentz Invariance with an Optical Ring Cavity
ISBN: 9811037396 ISBN-13(EAN): 9789811037399
Издательство: Springer
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Описание: Introduction.- Tests of Lorentz Invariance.- Optical Ring Cavity.- Experimental Setup.- Data Analysis.- Conclusion.- Appendix.

Автор: Ryuzo Sato; Rama V. Ramachandran
Название: Symmetry and Economic Invariance: An Introduction
ISBN: 1461375193 ISBN-13(EAN): 9781461375197
Издательство: Springer
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Цена: 93160.00 T
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Описание: Symmetry and Economic Invariance: An Introduction explores how symmetry and invariance of economic models can provide insights into their properties.

Автор: Eduardo Caianiello
Название: Renormalization and Invariance in Quantum Field Theory
ISBN: 1461589118 ISBN-13(EAN): 9781461589112
Издательство: Springer
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Цена: 81050.00 T
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Описание: The subject matter of this Advanced Study Institute, which has been rendered possible by the generous support of NATO, gratefully acknow- ledged here, is of central importance to quantum field theory today.

Автор: Giuseppe Basile
Название: Controlled and Conditioned Invariance
ISBN: 321181132X ISBN-13(EAN): 9783211811320
Издательство: Springer
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Автор: Ryuzo Sato; Rama V. Ramachandran
Название: Symmetry and Economic Invariance
ISBN: 4431560831 ISBN-13(EAN): 9784431560838
Издательство: Springer
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Описание: Symmetry and Economic Invariance (second enhanced edition) explores how the symmetry and invariance of economic models can provide insights into their properties.

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: 141070.00 T
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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.

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.

Автор: Annick LESNE; Michel Lagu?s
Название: Scale Invariance
ISBN: 3642448968 ISBN-13(EAN): 9783642448966
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book presents a complete tour of formal advances and experimental results associated with the notion of scaling, in physics, chemistry and biology. The text offers a thorough conceptual background and a simple account of a wide range of applications.