NDLI: Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge

Content Provider	Springer Nature Link
Author	Scheiterer, Ruxandra Lupas Obradovic, Dragan Tresp, Volker
Copyright Year	2007
Abstract	This paper addresses issues in constructing a Bayesian network domain model for diagnostic purposes from expert knowledge. Diagnostic systems rely on suitable models of the domain, which describe causal relationships between problem classes and observed symptoms. Typically these models are obtained by analyzing process data or by interviewing domain experts. The domain models are usually built in the forward direction, i.e. by using the expert provided probabilities of symptoms given individual causes and neglecting the information in the backward direction, i.e. the knowledge about probabilities of problems given individual symptoms. In this paper we introduce a novel approach for the structured generation of a model that incorporates as closely as possible that subset of the unstructured multifaceted and possibly conflicting probabilistic information provided by the experts that they feel most confident in estimating.
Starting Page	301
Ending Page	316
Page Count	16
File Format	PDF
ISSN	09225773
Journal	Journal of Signal Processing Systems
Volume Number	49
Issue Number	2
e-ISSN	1573109X
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2007-08-16
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	expert systems Bayesian networks for troubleshooting and diagnosis probabilistic model causal model noisy OR proxy model probabilistic information experts feel confident in estimating generation of a model that matches as closely as possible the probabilistic information provided by experts smallest forward-backward expert-based model model generation closest match Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Monte Carlo Bayesian Signal Processing for Wireless Communications

A General Probabilistic Formulation for Supervised Neural Classifiers

Dedicated Circuits for the Generation of Windows in Image Processing Architectures

Properties and Algorithms for Unfolding of Probabilistic Data-Flow Graphs

Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior

Bayesian Sparse Topic Model

Model-Year Architectures for Rapid Prototyping

Approximate Signal Processing

Automatic Generation of Modular Time-Space Mappings and Data Alignments

Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge

Similar Documents

Monte Carlo Bayesian Signal Processing for Wireless Communications

A General Probabilistic Formulation for Supervised Neural Classifiers

Dedicated Circuits for the Generation of Windows in Image Processing Architectures

Properties and Algorithms for Unfolding of Probabilistic Data-Flow Graphs

Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior

Bayesian Sparse Topic Model

Model-Year Architectures for Rapid Prototyping

Approximate Signal Processing

Automatic Generation of Modular Time-Space Mappings and Data Alignments

Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge