Probability On Trees And Networks
DOWNLOAD
Download Probability On Trees And Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Probability On Trees And Networks book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Probability On Trees And Networks
DOWNLOAD
Author : Russell Lyons
language : en
Publisher:
Release Date : 2016
Probability On Trees And Networks written by Russell Lyons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Stochastic processes categories.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
DOWNLOAD
Author : Claudio Sossai
language : en
Publisher: Springer
Release Date : 2009-06-05
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Claudio Sossai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-05 with Computers categories.
This book constitutes the refereed proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009, held in Verona, Italy, July 1-3, 2009. There are 76 revised full papers presented together with 3 invited lectures by three outstanding researchers in the area. All papers were carefully reviewed and selected from 118 submissions for inclusion in the book. The papers are organized in topical sections on algorithms for uncertain inference, argumentation systems, Bayesian networks, Belief functions, Belief revision and inconsistency handling, classification and clustering, conditioning, independence, inference, default reasoning, foundations of reasoning, decision making under uncertainty, Fuzzy sets and Fuzzy logic, implementation and application of uncertain systems, logics for reasoning under uncertainty, Markov decision process, and Mathematical Fuzzy Logic.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
DOWNLOAD
Author : Lluis Godo
language : en
Publisher: Springer
Release Date : 2005-08-25
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Lluis Godo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-25 with Computers categories.
These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference included invited lectures by three outstanding researchers in the area, Seraf ́ ?n Moral (Imprecise Probabilities), Rudolf Kruse (Graphical Models in Planning) and J ́ erˆ ome Lang (Social Choice). Moreover, the application of uncertainty models to real-world problems was addressed at ECSQARU 2005 by a special session devoted to s- cessful industrial applications, organized by Rudolf Kruse. Both invited lectures and papers of the special session contribute to this volume. On the whole, the programme of the conference provided a broad, rich and up-to-date perspective of the current high-level research in the area which is re?ected in the contents of this volume. IwouldliketowarmlythankthemembersoftheProgramCommitteeandthe additional referees for their valuable work, the invited speakers and the invited session organizer.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
DOWNLOAD
Author : Thomas D. Nielsen
language : en
Publisher: Springer
Release Date : 2004-04-07
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Thomas D. Nielsen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Computers categories.
The refereed proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2003, held in Aalborg, Denmark in July 2003. The 47 revised full papers presented together with 2 invited survey articles were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on foundations of uncertainty concepts, Bayesian networks, algorithms for uncertainty inference, learning, decision graphs, belief functions, fuzzy sets, possibility theory, default reasoning, belief revision and inconsistency handling, logics, and tools.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
DOWNLOAD
Author : Salem Benferhat
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-08-29
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Salem Benferhat and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-08-29 with Business & Economics categories.
This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
DOWNLOAD
Author : Weiru Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-24
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Weiru Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-24 with Computers categories.
This book constitutes the refereed proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, held in Belfast, UK, in June/July 2011. The 60 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on argumentation; Bayesian networks and causal networks; belief functions; belief revision and inconsistency handling; classification and clustering; default reasoning and logics for reasoning under uncertainty; foundations of reasoning and decision making under uncertainty; fuzzy sets and fuzzy logic; implementation and applications of uncertain systems; possibility theory and possibilistic logic; and uncertainty in databases.
Human Reliability
DOWNLOAD
Author : Balbir S. Dhillon
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Human Reliability written by Balbir S. Dhillon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.
Human Reliability: With Human Factors focuses on human reliability during system design. The book is organized into 13 chapters, wherein Chapter 1 presents histories of human factors and human reliability along with selective terms and definitions. Chapter 2 shows basic reliability mathematics and concepts. Subsequent chapters then elaborate on human reliability, human errors, six human reliability analysis methods, and reliability evaluation of systems with human errors. Other chapters elucidate human factors in maintenance and maintainability; human safety; human reliability data; and human factors in quality control, design, mathematical models, and formulas. Applications of human factors engineering are also addressed. The text will be valuable to human factor engineers and specialists, reliability and maintainability specialists, system and design engineers, industrial engineers, quality control engineers, and students.
Computational Methods In Molecular Biology
DOWNLOAD
Author : S.L. Salzberg
language : en
Publisher: Elsevier
Release Date : 1998-06-19
Computational Methods In Molecular Biology written by S.L. Salzberg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-06-19 with Science categories.
Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities.This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms.The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book.A secondary audience will be computer scientists developing techniques with applications in biology.An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.
Bayesian Networks For Probabilistic Inference And Decision Analysis In Forensic Science
DOWNLOAD
Author : Franco Taroni
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-21
Bayesian Networks For Probabilistic Inference And Decision Analysis In Forensic Science written by Franco Taroni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-21 with Mathematics categories.
Bayesian Networks “This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation.” Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science Second Edition Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates diffculties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader’s own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.
Risk Assessment And Decision Analysis With Bayesian Networks
DOWNLOAD
Author : Norman Fenton
language : en
Publisher: CRC Press
Release Date : 2012-11-07
Risk Assessment And Decision Analysis With Bayesian Networks written by Norman Fenton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Business & Economics categories.
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.