Probabilistic Similarity Networks

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Probabilistic Similarity Networks

David E. Heckerman
Probabilistic Similarity Networks Book PDF

Author : David E. Heckerman
Publisher : MIT Press (MA)
Page : 272 pages
File Size : 54,6 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015025008452

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Probabilistic Similarity Networks by David E. Heckerman Pdf

In this remarkable blend of formal theory and practical application, David Heckerman develops methods for building normative expert systems—expert systems that encode knowledge in a decision-theoretic framework. Heckerman introduces the similarity network and partition, two extensions to the influence diagram representation. He uses the new representations to construct Pathfinder, a large, normative expert system for the diagnosis of lymph-node diseases. Heckerman shows that such expert systems can be built efficiently, and that the use of a normative theory as the framework for representing knowledge can dramatically improve the quality of expertise that is delivered to the user. He concludes with a formal evaluation of the power of his methods for building normative expert systems. David Heckerman is Assistant Professor of Computer Science at the University of Southern California. He received his doctoral degree in Medical Information Sciences from Stanford University. Contents: Introduction. Similarity Networks and Partitions: A Simple Example. Theory of Similarity Networks. Pathfinder: A Case Study. An Evaluation of Pathfinder. Conclusions and Future Work.

Expert Systems and Probabilistic Network Models

Enrique Castillo,Jose M. Gutierrez,Ali S. Hadi
Expert Systems and Probabilistic Network Models Book PDF

Author : Enrique Castillo,Jose M. Gutierrez,Ali S. Hadi
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461222705

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Expert Systems and Probabilistic Network Models by Enrique Castillo,Jose M. Gutierrez,Ali S. Hadi Pdf

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.

Probabilistic Networks and Expert Systems

Robert G. Cowell,Philip Dawid,Steffen L. Lauritzen,David J. Spiegelhalter
Probabilistic Networks and Expert Systems Book PDF

Author : Robert G. Cowell,Philip Dawid,Steffen L. Lauritzen,David J. Spiegelhalter
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 47,8 Mb
Release : 2007-07-16
Category : Computers
ISBN : 0387718230

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Probabilistic Networks and Expert Systems by Robert G. Cowell,Philip Dawid,Steffen L. Lauritzen,David J. Spiegelhalter Pdf

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.

Probabilistic Graphical Models

Daphne Koller,Nir Friedman
Probabilistic Graphical Models Book PDF

Author : Daphne Koller,Nir Friedman
Publisher : MIT Press
Page : 1270 pages
File Size : 47,8 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262258357

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Probabilistic Graphical Models by Daphne Koller,Nir Friedman Pdf

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.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Salem Benferhat,Philippe Besnard
Symbolic and Quantitative Approaches to Reasoning with Uncertainty Book PDF

Author : Salem Benferhat,Philippe Besnard
Publisher : Springer
Page : 818 pages
File Size : 47,5 Mb
Release : 2003-06-30
Category : Computers
ISBN : 9783540446521

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty by Salem Benferhat,Philippe Besnard Pdf

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.

Probabilistic Boolean Networks

Ilya Shmulevich,Edward R. Dougherty
Probabilistic Boolean Networks Book PDF

Author : Ilya Shmulevich,Edward R. Dougherty
Publisher : SIAM
Page : 276 pages
File Size : 46,7 Mb
Release : 2010-01-21
Category : Mathematics
ISBN : 9780898716924

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Probabilistic Boolean Networks by Ilya Shmulevich,Edward R. Dougherty Pdf

The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.

KI-98: Advances in Artificial Intelligence

Otthein Herzog,Andreas Günter
KI 98 Advances in Artificial Intelligence Book PDF

Author : Otthein Herzog,Andreas Günter
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 49,6 Mb
Release : 1998-09-09
Category : Computers
ISBN : 3540650806

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KI-98: Advances in Artificial Intelligence by Otthein Herzog,Andreas Günter Pdf

This book constitutes the refereed proceedings of the 22nd Annual German Conference on Artificial Intelligence, KI-98, held in Bremen, Germany, in September 1998. The 16 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Also included are three invited papers and abstracts of two invited talks, as well as an appendix containing up-to-date descriptions of German AI projects. Thus the volume gives a unique overview of AI research in Germany.

Bayesian Networks and Decision Graphs

Thomas Dyhre Nielsen,FINN VERNER JENSEN
Bayesian Networks and Decision Graphs Book PDF

Author : Thomas Dyhre Nielsen,FINN VERNER JENSEN
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 51,8 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475735024

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Bayesian Networks and Decision Graphs by Thomas Dyhre Nielsen,FINN VERNER JENSEN Pdf

Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and understand them, and when communicated to a computer, they can easily be compiled. The book emphasizes both the human and the computer side. It gives a thorough introduction to Bayesian networks, decision trees and influence diagrams as well as algorithms and complexity issues.

Bayesian Networks and Decision Graphs

Finn V. Jensen
Bayesian Networks and Decision Graphs Book PDF

Author : Finn V. Jensen
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 48,9 Mb
Release : 2001
Category : Business & Economics
ISBN : 0387952594

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Bayesian Networks and Decision Graphs by Finn V. Jensen Pdf

A practical guide to normative systems: Causal and bayesian networks; Building models; learning, adaptation, and tuning; Decision graphs. Algorithms ofr normative systems: Belief updating in bayesian networks; Bayesian network analysis tools; Algorithms ofr influence diagrams. List of notation.

Decision Science and Technology

James Shanteau,Barbara A. Mellers,David A. Schum
Decision Science and Technology Book PDF

Author : James Shanteau,Barbara A. Mellers,David A. Schum
Publisher : Springer Science & Business Media
Page : 425 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461550891

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Decision Science and Technology by James Shanteau,Barbara A. Mellers,David A. Schum Pdf

Decision Science and Technology is a compilation of chapters written in honor of a remarkable man, Ward Edwards. Among Ward's many contributions are two significant accomplishments, either of which would have been enough for a very distinguished career. First, Ward is the founder of behavioral decision theory. This interdisciplinary discipline addresses the question of how people actually confront decisions, as opposed to the question of how they should make decisions. Second, Ward laid the groundwork for sound normative systems by noticing which tasks humans can do well and which tasks computers should perform. This volume, organized into five parts, reflects those accomplishments and more. The book is divided into four sections: `Behavioral Decision Theory' examines theoretical descriptions and empirical findings about human decision making. `Decision Analysis' examines topics in decision analysis.`Decision in Society' explores issues in societal decision making. The final section, `Historical Notes', provides some historical perspectives on the development of the decision theory. Within these sections, major, multi-disciplinary scholars in decision theory have written chapters exploring some very bold themes in the field, as an examination of the book's contents will show. The main reason for the health of the Decision Analysis field is its close links between theory and applications that have characterized it over the years. In this volume, the chapters by Barron and Barrett; Fishburn; Fryback; Keeney; Moreno, Pericchi, and Kadane; Howard; Phillips; Slovic and Gregory; Winkler; and, above all, von Winterfeldt focus on those links. Decision science originally developed out of concern with real decision problems; and applied work, such as is represented in this volume, will help the field to remain strong.

Foundations of Intelligent Systems

Zbigniew W. Ras,Setsuo Ohsuga
Foundations of Intelligent Systems Book PDF

Author : Zbigniew W. Ras,Setsuo Ohsuga
Publisher : Springer
Page : 648 pages
File Size : 44,8 Mb
Release : 2003-07-31
Category : Computers
ISBN : 9783540399636

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Foundations of Intelligent Systems by Zbigniew W. Ras,Setsuo Ohsuga Pdf

Of Testing ExperimentsConclusion; Acknowledgments; References; Can Relational Learning Scale Up?; Introduction; Phase Transition in Hypothesis Testing; Experiment Goal and Setting; Results; Interpretation; The Phase Transition Is an Attractor; Correct Identification of the Target Concept; Good Approximation of the Target Concept; Conclusion; References; Discovering Geographic Knowledge: The INGENS System; Introduction; INGENS Software Architecture and Object Data Model; Learning Classification Rules for Geographical Objects; Application to Apulian Map Interpretation.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Lluis Godo
Symbolic and Quantitative Approaches to Reasoning with Uncertainty Book PDF

Author : Lluis Godo
Publisher : Springer Science & Business Media
Page : 1043 pages
File Size : 41,5 Mb
Release : 2005-06-24
Category : Computers
ISBN : 9783540273264

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty by Lluis Godo Pdf

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.

Graphical Models

Christian Borgelt,Matthias Steinbrecher,Rudolf R Kruse
Graphical Models Book PDF

Author : Christian Borgelt,Matthias Steinbrecher,Rudolf R Kruse
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 55,9 Mb
Release : 2009-07-30
Category : Mathematics
ISBN : 0470749563

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Graphical Models by Christian Borgelt,Matthias Steinbrecher,Rudolf R Kruse Pdf

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.

Uncertainty in Knowledge Bases

Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh
Uncertainty in Knowledge Bases Book PDF

Author : Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh
Publisher : Springer Science & Business Media
Page : 630 pages
File Size : 43,5 Mb
Release : 1991-09-11
Category : Computers
ISBN : 3540543465

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Uncertainty in Knowledge Bases by Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A. Zadeh Pdf

One out of every two men over eigthy suffers from carcinoma of the prostate.It is discovered incidentally in many patients with an alleged benign prostatic hyperplasia. In treating patients, the authors make clear that primary radical prostatectomy is preferred over transurethral resection due to the lower complication rate.

Data Mining

John Wang
Data Mining Book PDF

Author : John Wang
Publisher : IGI Global
Page : 496 pages
File Size : 51,7 Mb
Release : 2003-01-01
Category : Computers
ISBN : 1931777837

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Data Mining by John Wang Pdf

"An overview of the multidisciplinary field of data mining, this book focuses specifically on new methodologies and case studies. Included are case studies written by 44 leading scientists and talented young scholars from seven different countries. Topics covered include data mining based on rough sets, the impact of missing data, and mining free text for structure. In addition, the four basic mining operations supported by numerous mining techniques are addressed: predictive model creation supported by supervised induction techniques; link analysis supported by association discovery and sequence discovery techniques; DB segmentation supported by clustering techniques; and deviation detection supported by statistical techniques."