A software package for web deployment of probabilistic graphical models

Anders L. Madsen*, Martin Karlsen, Gary C. Barker, Ana Belen Garcia, Jeffrey Hoorfar, Frank Jensen, Håkan Vigre

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Abstract

This paper presents a software architecture for deployment of decision support systems based on probabilistic graphical models (PGMs). It has been developed to ease the task of deploying a PGM on the Internet as a decision support system. The paper describes how the architecture has served as a strong platform for the development and deployment of two case studies in food safety.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsManfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
Number of pages10
Volume257
PublisherIOS Press
Publication date2013
Pages175-184
ISBN (Print)978-161499329-2
ISBN (Electronic) 978-1-61499-330-8
DOIs
Publication statusPublished - 2013
SeriesFrontiers in Artificial Intelligence and Applications
Volume257
ISSN0922-6389

Keywords

  • Applications
  • Bayesian networks
  • Web Service API

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