Probabilistic Similarity Networks

Download Probabilistic Similarity Networks full books in PDF, epub, and Kindle. Read online Probabilistic Similarity Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Probabilistic Similarity Networks

Author : David E. Heckerman
Publisher : MIT Press (MA)
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Similarity Networks by : David E. Heckerman

Download or read book Probabilistic Similarity Networks written by David E. Heckerman and published by MIT Press (MA). This book was released on 1991 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Probabilistic Networks and Expert Systems

Author : Robert G. Cowell
Publisher : Springer Science & Business Media
ISBN 13 : 9780387718231
Total Pages : 340 pages
Book Rating : 4.7/5 (182 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Networks and Expert Systems by : Robert G. Cowell

Download or read book Probabilistic Networks and Expert Systems written by Robert G. Cowell and published by Springer Science & Business Media. This book was released on 2007-07-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Daphne Koller
Publisher : MIT Press
ISBN 13 : 0262258358
Total Pages : 1270 pages
Book Rating : 4.2/5 (622 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Graphical Models by : Daphne Koller

Download or read book Probabilistic Graphical Models written by Daphne Koller and published by MIT Press. This book was released on 2009-07-31 with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Probabilistic Expert Systems

Author : Glenn Shafer
Publisher : SIAM
ISBN 13 : 9781611970043
Total Pages : 88 pages
Book Rating : 4.9/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Expert Systems by : Glenn Shafer

Download or read book Probabilistic Expert Systems written by Glenn Shafer and published by SIAM. This book was released on 1996-01-01 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Expert Systems emphasizes the basic computational principles that make probabilistic reasoning feasible in expert systems. The key to computation in these systems is the modularity of the probabilistic model. Shafer describes and compares the principal architectures for exploiting this modularity in the computation of prior and posterior probabilities. He also indicates how these similar yet different architectures apply to a wide variety of other problems of recursive computation in applied mathematics and operations research. The field of probabilistic expert systems has continued to flourish since the author delivered his lectures on the topic in June 1992, but the understanding of join-tree architectures has remained missing from the literature. This monograph fills this void by providing an analysis of join-tree methods for the computation of prior and posterior probabilities in belief nets. These methods, pioneered in the mid to late 1980s, continue to be central to the theory and practice of probabilistic expert systems. In addition to purely probabilistic expert systems, join-tree methods are also used in expert systems based on Dempster-Shafer belief functions or on possibility measures. Variations are also used for computation in relational databases, in linear optimization, and in constraint satisfaction. This book describes probabilistic expert systems in a more rigorous and focused way than existing literature, and provides an annotated bibliography that includes pointers to conferences and software. Also included are exercises that will help the reader begin to explore the problem of generalizing from probability to broader domains of recursive computation.

Expert Systems and Probabilistic Network Models

Author : Enrique Castillo
Publisher : Springer Science & Business Media
ISBN 13 : 1461222702
Total Pages : 612 pages
Book Rating : 4.4/5 (612 download)

DOWNLOAD NOW!

Book Synopsis Expert Systems and Probabilistic Network Models by : Enrique Castillo

Download or read book Expert Systems and Probabilistic Network Models written by Enrique Castillo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bayesian Networks and Decision Graphs

Author : Thomas Dyhre Nielsen
Publisher : Springer Science & Business Media
ISBN 13 : 0387682821
Total Pages : 457 pages
Book Rating : 4.3/5 (876 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Networks and Decision Graphs by : Thomas Dyhre Nielsen

Download or read book Bayesian Networks and Decision Graphs written by Thomas Dyhre Nielsen and published by Springer Science & Business Media. This book was released on 2009-03-17 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.

High-Dimensional Probability

Author : Roman Vershynin
Publisher : Cambridge University Press
ISBN 13 : 1108415199
Total Pages : 299 pages
Book Rating : 4.1/5 (84 download)

DOWNLOAD NOW!

Book Synopsis High-Dimensional Probability by : Roman Vershynin

Download or read book High-Dimensional Probability written by Roman Vershynin and published by Cambridge University Press. This book was released on 2018-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Probabilistic Modeling in Bioinformatics and Medical Informatics

Author : Dirk Husmeier
Publisher : Springer Science & Business Media
ISBN 13 : 1846281199
Total Pages : 511 pages
Book Rating : 4.8/5 (462 download)

DOWNLOAD NOW!

Book Synopsis Probabilistic Modeling in Bioinformatics and Medical Informatics by : Dirk Husmeier

Download or read book Probabilistic Modeling in Bioinformatics and Medical Informatics written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

Statistical Relational Artificial Intelligence

Author : Luc De Raedt
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627058427
Total Pages : 191 pages
Book Rating : 4.6/5 (27 download)

DOWNLOAD NOW!

Book Synopsis Statistical Relational Artificial Intelligence by : Luc De Raedt

Download or read book Statistical Relational Artificial Intelligence written by Luc De Raedt and published by Morgan & Claypool Publishers. This book was released on 2016-03-24 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

The Second Text REtrieval Conference (TREC-2)

Author : Donna K. Harman
Publisher :
ISBN 13 :
Total Pages : 506 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis The Second Text REtrieval Conference (TREC-2) by : Donna K. Harman

Download or read book The Second Text REtrieval Conference (TREC-2) written by Donna K. Harman and published by . This book was released on 1994 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multimedia Retrieval

Author : Henk M. Blanken
Publisher : Springer Science & Business Media
ISBN 13 : 3540728953
Total Pages : 384 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Multimedia Retrieval by : Henk M. Blanken

Download or read book Multimedia Retrieval written by Henk M. Blanken and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.

Artificial Intelligence in Perspective

Author : Daniel Gureasko Bobrow
Publisher : MIT Press
ISBN 13 : 9780262521864
Total Pages : 482 pages
Book Rating : 4.5/5 (218 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Perspective by : Daniel Gureasko Bobrow

Download or read book Artificial Intelligence in Perspective written by Daniel Gureasko Bobrow and published by MIT Press. This book was released on 1994 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major collection of short essays reviews the scope and progress of research in artificial intelligence over the past two decades. Seminal and most-cited papers from the journal Artificial Intelligence are revisited by the authors who describe how their research has been developed, both by themselves and by others, since the journals first publication.The twenty-eight papers span a wide variety of domains, including truth maintainance systems and qualitative process theory, chemical structure analysis, diagnosis of faulty circuits, and understanding visual scenes; they also span a broad range of methodologies, from AI's mathematical foundations to systems architecture.The volume is dedicated to Allen Newell and concludes with a section of fourteen essays devoted to a retrospective on the strength and vision of his work.Sections/Contributors: - Artificial Intelligence in Perspective, D. G. Bobrow.- Foundations. J. McCarthy, R. C. Moore, A. Newell, N. J. Nilsson, J. Gordon and E. H. Shortliffe, J. Pearl, A. K. Mackworth and E. C. Freuder, J. de Kleer.- Vision. H. G. Barrow and J. M. Tenenbaum, B. K. P. Horn and B. Schunck, K. Ikeuchi, T. Kanade.- Qualitative Reasoning. J. de Kleer, K. D. Forbus, B. J. Kuipers, Y. Iwasake and H. A Simon.- Diagnosis. R. Davis, M. R. Genesereth, P. Szolovits and S. G. Pauker, R. Davis, B. G. Buchanan and E. H. Shortliffe, W. J. Clancey.- Architectures. J. S. Aikins, B. Hayes-Roth, M. J. Stefik et al.- Systems. R. E. Fikes and N. J. Nilsson, E. A Feigenbaum and B. G. Buchanan, J. McDermott. Allen Newell. H. A. Simon, M. J. Stefik and S. W. Smoliar, M. A. Arbib, D. C. Dennett, Purves, R. C. Schank and M. Y. Jona, P. S. Rosenbloom and J. E. Laird, P. E. Agre.

Uncertainty in Artificial Intelligence

Author : Bruce D'Ambrosio
Publisher : Elsevier
ISBN 13 : 1483298566
Total Pages : 455 pages
Book Rating : 4.4/5 (832 download)

DOWNLOAD NOW!

Book Synopsis Uncertainty in Artificial Intelligence by : Bruce D'Ambrosio

Download or read book Uncertainty in Artificial Intelligence written by Bruce D'Ambrosio and published by Elsevier. This book was released on 2014-06-28 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty Proceedings 1991

Qualitative and Quantitative Practical Reasoning

Author : Dov Gabbay
Publisher : Springer Science & Business Media
ISBN 13 : 9783540630951
Total Pages : 644 pages
Book Rating : 4.6/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Qualitative and Quantitative Practical Reasoning by : Dov Gabbay

Download or read book Qualitative and Quantitative Practical Reasoning written by Dov Gabbay and published by Springer Science & Business Media. This book was released on 1997-05-28 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning, ECSQARU-FAPR'97, held in Bad Honnef, Germany, in June 1997. The volume presents 33 revised full papers carefully selected for inclusion in the book by the program committee as well as 12 invited contributions. Among the various aspects of human practical reasoning addressed in the papers are nonmonotonic logics, default reasoning, modal logics, belief function theory, Bayesian networks, fuzzy logic, possibility theory, inference algorithms, dynamic reasoning with partial models, and user modeling approaches.

Computational Intelligence in Theory and Practice

Author : Bernd Reusch
Publisher : Springer Science & Business Media
ISBN 13 : 3790818313
Total Pages : 265 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence in Theory and Practice by : Bernd Reusch

Download or read book Computational Intelligence in Theory and Practice written by Bernd Reusch and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence with its roots in Fuzzy Logic, Neural Networks and Evolutionary Algorithms has become an important research and application field in computer science in the last decade. Methodologies from these areas and combinations of them enable users from engineering, business, medicine and many more branches to capture and process vague, incomplete, uncertain and imprecise data and knowledge. Many algorithms and tools have been developed to solve problems in the realms of high and low level control, information processing, diagnostics, decision support, classification, optimisation and many more. This book tries to show the impact and feedback between theory and applications of Computational Intelligence, highlighted on selected examples.

Discovery Science

Author : Steffen Lange
Publisher : Springer
ISBN 13 : 3540361820
Total Pages : 478 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Discovery Science by : Steffen Lange

Download or read book Discovery Science written by Steffen Lange and published by Springer. This book was released on 2003-08-03 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 5th International Conference on Discovery Science (DS 2002) held at the Mövenpick Hotel, Lub ̈eck, G- many, November 24-26, 2002. The conference was supported by CorpoBase, DFKI GmbH, and JessenLenz. The conference was collocated with the 13th International Conference on - gorithmic Learning Theory (ALT 2002). Both conferences were held in parallel and shared?ve invited talks as well as all social events. The combination of ALT 2002 and DS 2002 allowed for a comprehensive treatment of recent de- lopments in computational learning theory and machine learning - some of the cornerstones of discovery science. In response to the call for papers 76 submissions were received. The program committee selected 17 submissions as regular papers and 29 submissions as poster presentations of which 27 have been submitted for publication. This selection was based on clarity, signi?cance, and originality, as well as on relevance to the rapidly evolving?eld of discovery science.

Machine Learning: ECML-95

Author : Nada Lavrač
Publisher : Springer Science & Business Media
ISBN 13 : 9783540592860
Total Pages : 388 pages
Book Rating : 4.5/5 (928 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač

Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 1995-04-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.