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Probabilistic reasoning and Bayesian belief networks

Author: A Gammerman; UNICOM Seminars.
Publisher: Henley-on-Thames : Alfred Waller in association with UNICOM, 1995.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

A significant characteristic of an intelligent computer system is the ability to reason with judgmental knowledge. This book summarizes some important work in the development of computational models  Read more...

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Additional Physical Format: Online version:
Probabilistic reasoning and Bayesian belief networks.
Henley-on-Thames : Alfred Waller in association with UNICOM, 1995
(OCoLC)607808009
Online version:
Probabilistic reasoning and Bayesian belief networks.
Henley-on-Thames : Alfred Waller in association with UNICOM, 1995
(OCoLC)622094699
Document Type: Book
All Authors / Contributors: A Gammerman; UNICOM Seminars.
ISBN: 1872474268 9781872474267
OCLC Number: 34117444
Description: xix, 271 pages : illustrations ; 24 cm
Contents: From Bayesian netorks to causal networks; exact and approximate algorithms and their implementations in mixed graphical models; models and modelling in context; modelling ignorance in uncertainty theories; choosing network complexity; a system for hypothesis-driven data request; an efficient graphical algorithm for updating the estimates of the dispersal of gaseous waste after an accidental release; graphical representation of a network traffic model; a C++-class library for building Bayesian belief networks; smoothing noisy signals with Bayesian networks; efficient multiple-disorder diagnosis by strategic focusing; weighted inference rules and Bayesian belief networks; on the idiot vs proper Bayes approach in clinical diagnostic systems; constructing computationally-efficient Bayesian models via unsupervised clustering; Bayesian graphical models of the natural history of HIV-infection.
Responsibility: edited by A. Gammerman.

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