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Author: Robert G. Cowell
Publisher: Springer Science & Business Media
ISBN: 9780387718231
Category : Computers
Languages : en
Pages : 340
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Book Description
Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.
Author: Robert G. Cowell
Publisher: Springer Science & Business Media
ISBN: 9780387718231
Category : Computers
Languages : en
Pages : 340
Get Book Here
Book Description
Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.
Author: Sholom M. Weiss
Publisher: Morgan Kaufmann Publishers
ISBN:
Category : Computers
Languages : en
Pages : 248
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Book Description
This text is a practical guide to classification learning systems and their applications, which learn from sample data and make predictions for new cases. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's point of view.
Author: Reinhold Haux
Publisher: Lubrecht & Cramer, Limited
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 204
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Book Description
Author: John M. McCann
Publisher: Springer Science & Business Media
ISBN: 9401139237
Category : Business & Economics
Languages : en
Pages : 226
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Book Description
This book is about the role of expert systems in marketing, particularly in the consumer goods industry. Section I describes the changing nature of consumer marketing and presents the rationale and need for expert systems. The remainder of the book combines a tutorial on expert systems with a series of expert system prototypes. The tutorial material is presented in three places. First, section II is devoted to introducing expert systems in general. Chapter 3 provides a general introduction to the topic, which is continued in chapter 4 where a small expert system (the Promotion Advisor) is used to illustrate the important features of a backward-chaining, rule-based system. The promotion theme is extended in chapter 5 where a larger system is presented. The material in all three of these chapters was designed as an introduction and tutorial on the most common technology for building applied expert systems: the backward-chaining, rule-based inference engine. Tutorial material is also contained in the body of the chapters that describe the prototypes. This material is usually in the form of sample rules and a description of the process for applying the rules. The third location of the expert system material is in chapters that follow discussions of the prototypes. Chapter 7 is a technical chapter on the coupling of expert systems to traditional systems.
Author: Markus C. Hemmer
Publisher: CRC Press
ISBN: 1420053248
Category : Computers
Languages : en
Pages : 418
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Book Description
Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows
Author: Richard E. Neapolitan
Publisher: CreateSpace
ISBN: 9781477452547
Category : Computers
Languages : en
Pages : 448
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Book Description
This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create the field we now call Bayesian networks. It introduces the properties of Bayesian networks (called causal networks in the text), discusses algorithms for doing inference in Bayesian networks, covers abductive inference, and provides an introduction to decision analysis. Furthermore, it compares rule-base experts systems to ones based on Bayesian networks, and it introduces the frequentist and Bayesian approaches to probability. Finally, it provides a critique of the maximum entropy formalism. Probabilistic Reasoning in Expert Systems was written from the perspective of a mathematician with the emphasis being on the development of theorems and algorithms. Every effort was made to make the material accessible. There are ample examples throughout the text. This text is important reading for anyone interested in both the fundamentals of Bayesian networks and in the history of how they came to be. It also provides an insightful comparison of the two most prominent approaches to probability.
Author: Peter Lucas
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 544
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Book Description
Author: Jerzy W. Grzymala-Busse
Publisher: Springer Science & Business Media
ISBN: 146153982X
Category : Computers
Languages : en
Pages : 242
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Book Description
3. Textbook for a course in expert systems,if an emphasis is placed on Chapters 1 to 3 and on a selection of material from Chapters 4 to 7. There is also the option of using an additional commercially available sheU for a programming project. In assigning a programming project, the instructor may use any part of a great variety of books covering many subjects, such as car repair. Instructions for mostofthe "weekend mechanic" books are close stylisticaUy to expert system rules. Contents Chapter 1 gives an introduction to the subject matter; it briefly presents basic concepts, history, and some perspectives ofexpert systems. Then itpresents the architecture of an expert system and explains the stages of building an expert system. The concept of uncertainty in expert systems and the necessity of deal ing with the phenomenon are then presented. The chapter ends with the descrip tion of taxonomy ofexpert systems. Chapter 2 focuses on knowledge representation. Four basic ways to repre sent knowledge in expert systems are presented: first-order logic, production sys tems, semantic nets, and frames. Chapter 3 contains material about knowledge acquisition. Among machine learning techniques, a methodofrule learning from examples is explained in de tail. Then problems ofrule-base verification are discussed. In particular, both consistency and completeness oftherule base are presented.
Author: David J. Hand
Publisher: CRC Press
ISBN: 100015291X
Category : Business & Economics
Languages : en
Pages : 431
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Book Description
This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.
Author: Otto Rienhoff
Publisher: Springer Science & Business Media
ISBN: 3642487068
Category : Medical
Languages : en
Pages : 584
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Book Description
The 33rd Annual Meeting of the German Association for Medical Documentation, Informatics and Statistics was combined with a Special Topic Conference of the European Federation for Medical Informatics and takes place at Hannover, F. R. of Germany, from September 26 to 29, 1988. It was planned and initililly prepared by the late Prof. P. L Reichertz, who headed the Hannover institute from 1969 to 1987. To commemorate his contribution to the development of medicine the conference was devoted to him "Peter Reichertz Memorial Conference on Expert Systems and Decision Support in Medicine" Since computers in the early Fifties were first applied to support medical reasoning, various phases of euphoria and resi~ation have . followed. Every new methodology which became technically possible was and will be applied to the old questlon of how to diagnose diseases more reliably. Artificial Intelligence is just one new approach to the old challenge. Over the years some· authors have been very optimistic and put forward opinions which motivated the common press to coin the phrase 'Dr. med. computer'. Papers printed under this heading rebuffed the majority of physiCians for many years. Today we know that medical decision making is a most complex buman performance. And 30 years of research on decision support have given us only limited insight into the underlying processes. Most of the principal methodological questions were already asked very early on.
