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Probabilistic Graphical Models: Principles and Applications, Sucar Luis Enrique


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Автор: Sucar Luis Enrique
Название:  Probabilistic Graphical Models: Principles and Applications
ISBN: 9783030619459
Издательство: Springer
Классификация:





ISBN-10: 3030619451
Обложка/Формат: Paperback
Страницы: 384
Вес: 0.54 кг.
Дата издания: 24.12.2021
Серия: Advances in computer vision and pattern recognition
Язык: English
Издание: 2nd ed. 2021
Иллюстрации: 144 illustrations, color; 23 illustrations, black and white; xxviii, 355 p. 167 illus., 144 illus. in color.; 144 illustrations, color; 23 illustratio
Размер: 23.39 x 15.60 x 2.01 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Principles and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Part I: Fundamentals

Introduction

Probability Theory

Graph Theory

Part II: Probabilistic Models

Bayesian Classifiers

Hidden Markov Models

Markov Random Fields

Bayesian Networks: Representation and Inference

Bayesian Networks: Learning

Dynamic and Temporal Bayesian Networks

Part III: Decision Models

Decision Graphs

Markov Decision Processes

Partially Observable Markov Decision Processes

Part IV: Relational, Causal and Deep Models

Relational Probabilistic Graphical Models

Graphical Causal Models

Causal Discovery

Deep Learning and Graphical Models

A: A Python Library for Inference and Learning

Glossary

Index



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.


Statistical principles for the design of experiments

Автор: Mead, R. (university Of Reading) Gilmour, S. G. (university Of Southampton) Mead, A. (university Of Warwick)
Название: Statistical principles for the design of experiments
ISBN: 0521862140 ISBN-13(EAN): 9780521862141
Издательство: Cambridge Academ
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Цена: 93970.00 T
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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.


Ultra-Fast Fiber Lasers

Автор: Binh, Le Nguyen , Quoc Ngo, Nam
Название: Ultra-Fast Fiber Lasers
ISBN: 1138374172 ISBN-13(EAN): 9781138374171
Издательство: Taylor&Francis
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Цена: 67360.00 T
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Описание:

Ultrashort pulses in mode-locked lasers are receiving focused attention from researchers looking to apply them in a variety of fields, from optical clock technology to measurements of the fundamental constants of nature and ultrahigh-speed optical communications. Ultrashort pulses are especially important for the next generation of ultrahigh-speed optical systems and networks operating at 100 Gbps per carrier.

Ultra Fast Fiber Lasers: Principles and Applications with MATLAB(R) Models is a self-contained reference for engineers and others in the fields of applied photonics and optical communications. Covering both fundamentals and advanced research, this book includes both theoretical and experimental results. MATLAB files are included to provide a basic grounding in the simulation of the generation of short pulses and the propagation or circulation around nonlinear fiber rings. With its unique and extensive content, this volume--

  • Covers fundamental principles involved in the generation of ultrashort pulses employing fiber ring lasers, particularly those that incorporate active optical modulators of amplitude or phase types
  • Presents experimental techniques for the generation, detection, and characterization of ultrashort pulse sequences derived from several current schemes
  • Describes the multiplication of ultrashort pulse sequences using the Talbot diffraction effects in the time domain via the use of highly dispersive media
  • Discusses developments of multiple short pulses in the form of solitons binding together by phase states
  • Elucidates the generation of short pulse sequences and multiple wavelength channels from a single fiber laser

The most practical short pulse sources are always found in the form of guided wave photonic structures. This minimizes problems with alignment and eases coupling into fiber transmission systems. In meeting these requirements, fiber ring lasers operating in active mode serve well as suitable ultrashort pulse sources. It is only a matter of time before scientists building on this research develop the practical and easy-to-use applications that will make ultrahigh-speed optical systems universally available.


Mathematical Foundations of Infinite-Dimensional Statistical Models

Автор: Gin?
Название: Mathematical Foundations of Infinite-Dimensional Statistical Models
ISBN: 1107043166 ISBN-13(EAN): 9781107043169
Издательство: Cambridge Academ
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Цена: 99270.00 T
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Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

Probabilistic Models of Population Evolution

Автор: Pardoux
Название: Probabilistic Models of Population Evolution
ISBN: 3319303260 ISBN-13(EAN): 9783319303260
Издательство: Springer
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Цена: 30740.00 T
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Описание: This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications.

?tienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

Statistical Models

Автор: Davison
Название: Statistical Models
ISBN: 0521773393 ISBN-13(EAN): 9780521773393
Издательство: Cambridge Academ
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Цена: 119330.00 T
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Описание: An integrated development of models and likelihood that blends theory and practice, suitable for advanced undergraduate and graduate students, researchers and practitioners. Each chapter of this 2003 book contains a wide range of problems and exercises. A library of data sets accompanying the book is available over the web.

Choquet Order and Simplices

Автор: Gerhard Winkler
Название: Choquet Order and Simplices
ISBN: 3540156836 ISBN-13(EAN): 9783540156833
Издательство: Springer
Рейтинг:
Цена: 23280.00 T
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Expert Systems and Probabilistic Network Models

Автор: Enrique Castillo; Jose M. Gutierrez; Ali S. Hadi
Название: Expert Systems and Probabilistic Network Models
ISBN: 1461274818 ISBN-13(EAN): 9781461274810
Издательство: Springer
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Цена: 111790.00 T
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Описание: Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

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: 186330.00 T
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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.

Dynamic Probabilistic Models and Social Structure

Автор: Guillermo L. G?mez M.
Название: Dynamic Probabilistic Models and Social Structure
ISBN: 9401051143 ISBN-13(EAN): 9789401051149
Издательство: Springer
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Цена: 46570.00 T
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Описание: In this way classical analytical mechanics was able to establish some general results, gaining insight through explicit solution of some simple cases and developing various methods of approximation for handling more complicated ones.

Predictive statistics

Автор: Clarke, Bertrand S. (university Of Nebraska, Lincoln) Clarke, Jennifer L. (university Of Nebraska, Lincoln)
Название: Predictive statistics
ISBN: 1107028280 ISBN-13(EAN): 9781107028289
Издательство: Cambridge Academ
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Цена: 83430.00 T
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Описание: Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and `black box` settings, with computed examples.


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