Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications
type: Item
instance of: scholarly article
title: Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications
zbMATH Open document ID: 1089.68126
author: Chao-Lin Liu
author: Michael P. Wellman
published in: International Journal of Approximate Reasoning
publication date: 2005-02-09T00:00:00Z
Mathematics Subject Classification ID: 68T37
zbMATH DE Number: 2132845
zbMATH Keywords: state-space abstraction method
describes a project that uses: SamIam
MaRDI profile type: Publication
full work available at URL: j.ijar.2003.06.002
OpenAlex ID: W2163105014
Wikidata QID: Q56454250
cites work: Q3056948
cites work: Deliberation scheduling for problem solving in time-constrained environments
cites work: Q4411140
cites work: Incremental conditioning of lower and upper probabilities
cites work: Approximating probabilistic inference in Bayesian belief networks is NP- hard
cites work: An optimal approximation algorithm for Bayesian inference
cites work: Shortest-path algorithms: Taxonomy and annotation
cites work: A note on two problems in connexion with graphs
cites work: An Appraisal of Some Shortest-Path Algorithms
cites work: Q2734566
cites work: An introduction to variational methods for graphical models
cites work: Evaluation of Bayesian networks with flexible state-space abstraction methods
cites work: Qualitative Bayesian networks
cites work: Qualitative methods for reasoning under uncertainty
cites work: Context-specific sign-propagation in qualitative probabilistic networks
cites work: Probabilistic Inference and Influence Diagrams
cites work: Fundamental concepts of qualitative probabilistic networks
DBLP publication ID: journals/ijar/LiuW04
DOI: 10.1016/J.IJAR.2003.06.002
description: scientific article; zbMATH DE number 2132845