Article

A computational scheme for reasoning in dynamic probabilistic networks

Author:

Uffe KjaerulffAuthors Info & Claims

UAI '92: Proceedings of the eighth conference on Uncertainty in Artificial Intelligence

June 1992

Pages 121 - 129

Published: 01 June 1992 Publication History

Abstract

No abstract available.

Cited By

View all

Salmerón ARumí RLangseth HNielsen TMadsen A(2018)A review of inference algorithms for hybrid Bayesian networksJournal of Artificial Intelligence Research10.1613/jair.1.1122862:1(799-828)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1613/jair.1.11228
Pynadath DRosoff HJohn RJonker CMarsella SThangarajah JTuyls K(2016)Semi-Automated Construction of Decision-Theoretic Models of Human BehaviorProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937055(891-899)Online publication date: 9-May-2016
https://dl.acm.org/doi/10.5555/2936924.2937055
Chee YWilkinson LNicholson AQuintana-Ascencio PFauth JHall DPonzio KRumpff L(2016)Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian NetworksEnvironmental Modelling & Software10.1016/j.envsoft.2016.04.01282:C(108-120)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.envsoft.2016.04.012
Show More Cited By

Index Terms

A computational scheme for reasoning in dynamic probabilistic networks
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic

Recommendations

Preferential structures for comparative probabilistic reasoning
AAAI'17: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence

Qualitative and quantitative approaches to reasoning about uncertainty can lead to different logical systems for formalizing such reasoning, even when the language for expressing uncertainty is the same. In the case of reasoning about relative ...
Read More
Probabilistic reasoning, parameter estimation and issues in turbo decoding
Read More
Dynamic computational complexity
Read More

Comments

Information & Contributors

Information

Published In

UAI '92: Proceedings of the eighth conference on Uncertainty in Artificial Intelligence

June 1992

367 pages

ISBN:1558602585

Editors:
Didier Dubois
Univ. of Paul Sabatier, Toulouse, France
,
Michael P. Wellman
USAF Wright Lab., Dayton, OH
,
Bruce D'Ambrosio
Oregon State Univ., Corvallis
,
Phillipe Smets
Univ. of Libre de Bruxelles, Brussels, Belgium

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 01 June 1992

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

28
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Other Metrics

View Author Metrics

Citations

Cited By

View all

Salmerón ARumí RLangseth HNielsen TMadsen A(2018)A review of inference algorithms for hybrid Bayesian networksJournal of Artificial Intelligence Research10.1613/jair.1.1122862:1(799-828)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1613/jair.1.11228
Pynadath DRosoff HJohn RJonker CMarsella SThangarajah JTuyls K(2016)Semi-Automated Construction of Decision-Theoretic Models of Human BehaviorProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937055(891-899)Online publication date: 9-May-2016
https://dl.acm.org/doi/10.5555/2936924.2937055
Chee YWilkinson LNicholson AQuintana-Ascencio PFauth JHall DPonzio KRumpff L(2016)Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian NetworksEnvironmental Modelling & Software10.1016/j.envsoft.2016.04.01282:C(108-120)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.envsoft.2016.04.012
Nicholson AChee YQuintana-Ascencio P(2012)A state-transition DBN for management of willows in an American heritage river catchmentProceedings of the Ninth UAI Conference on Bayesian Modeling Applications Workshop - Volume 96210.5555/3023465.3023472(55-64)Online publication date: 18-Aug-2012
https://dl.acm.org/doi/10.5555/3023465.3023472
Xiang YSmith JKroes J(2011)Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical modelsInternational Journal of Approximate Reasoning10.1016/j.ijar.2010.07.00452:7(960-977)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.1016/j.ijar.2010.07.004
Haider SLevis A(2008)Modeling time-varying uncertain situations using Dynamic Influence NetsInternational Journal of Approximate Reasoning10.1016/j.ijar.2008.04.00749:2(488-502)Online publication date: 1-Oct-2008
https://dl.acm.org/doi/10.1016/j.ijar.2008.04.007
Allen EPecorella AFetrow JJohn DTurkett WMenezes R(2006)Reconstructing networks using co-temporal functionsProceedings of the 44th annual Southeast regional conference10.1145/1185448.1185541(417-422)Online publication date: 10-Mar-2006
https://dl.acm.org/doi/10.1145/1185448.1185541
Bilmes JBartels C(2002)On triangulating dynamic graphical modelsProceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence10.5555/2100584.2100590(47-56)Online publication date: 7-Aug-2002
https://dl.acm.org/doi/10.5555/2100584.2100590
Li DZhang J(2002)Collaborative agent system using fuzzy logic for optimisationProceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services10.5555/1756326.1756348(195-210)Online publication date: 7-Oct-2002
https://dl.acm.org/doi/10.5555/1756326.1756348
Nefian ALiang LPi XLiu XMurphy K(2002)Dynamic Bayesian networks for audio-visual speech recognitionEURASIP Journal on Advances in Signal Processing10.1155/S11108657022060832002:1(1274-1288)Online publication date: 1-Jan-2002
https://dl.acm.org/doi/10.1155/S1110865702206083
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Cited By

Index Terms

Recommendations

Preferential structures for comparative probabilistic reasoning

Probabilistic reasoning, parameter estimation and issues in turbo decoding

Dynamic computational complexity

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations