probabilistic similarity networks de heckerman david (4 résultats)

Etat : as new. Cambridge, MA: The MIT Press, 1991. Hardcover. 261 pp.(ACM Doctoral Dissertation Award). - 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. English text. Condition : as new. Condition : as new copy. ISBN 9780262082068. Keywords : , artificial intelligence.

Hardcover. Etat : Very Good. No Jacket. Hardcover with black paper over boards, gold decoration and white text across covers and spine. Corners bumped, top edge slightly discolored to a darker shade. No date on title page. Copyright page dated only 1991. xx + 234 pages. Includes foreword by Edward H. Shortliffe, author's preface, guide for the reader, appendices with background, proofs, glossary, and results, bibliography, index, notation, charts, and a list of MIT's other publications. A few pages (5 or fewer) show pen marks; no writing, only lines. Pages otherwise bright. Binding neat and tight. Please email us with questions or to request photos.

Hardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : Minor rubbing. VG. orig. boards Minor rubbing. VG. Textual diagrams 23x18cm, xvii,234,(2)pp, Series: ACM Doctoral Dissertation Award 1990 Contents: Introduction; Pathfinder: A Normative Expert System; Similarity Networks and Partitions; Historical Background and Contributions; Overview of the Book; Similarity Networks and Partitions: A Simple Example; Similarity Networks: The Construction of a Knowledge Map; Partitions: The Assessment of a Knowledge Map; Theory of Similarity Networks; Background; Overview; Definitions and Examples; Soundness: Preliminary Results; Consistency: Preliminary Results; Soundness: Ordinary Similarity Networks; Consistency: Ordinary Similarity Networks; Another Definition of Ordinary Similarity Networks; Proof of Exhaustiveness; Use of Similarity Networks for Assessment; Summary; Pathfinder: A Case Study; History of Pathfinder; Highlights of Knowledge-Base Composition; Construction Statistics; Insights; The Pathfinder Inference Algorithm; An Evaluation of Pathfinder; Selection of Cases; Entry of Features; Phase 1: An Expert-Rating Metric; Phase 2: A Case-by-Case Analysis; Phase 3: A Decision-Theoretic Metric; Discussion; Conclusions and Future Work; Weaker Conditions for Soundness; Applications Other Than Coherent Knowledge Acquisition; Conclusions; A. Background; B. Proof of Theorems and Notation; C. Glossary of Pathfinder Terms; D. Evaluation Results; E. Transformation for Multiple Hypotheses.