Finn V. Jensen

According to our database1, Finn V. Jensen authored at least 63 papers between 1985 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
Anytime Decision Making Based on Unconstrained Influence Diagrams.
Int. J. Intell. Syst., 2016

2013
Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (1996)
CoRR, 2013

Probabilistic decision graphs for optimization under uncertainty.
Ann. Oper. Res., 2013

Opponent modeling in a PGM framework.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Information enhancement - A tool for approximate representation of optimal strategies from influence diagrams.
Int. J. Approx. Reason., 2012

2011
When to test? Troubleshooting with postponed system test.
Expert Syst. Appl., 2011

Probabilistic Decision Graphs for optimization under Uncertainty.
Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

2010
A PGM framework for recursive modeling of players in simple sequential Bayesian games.
Int. J. Approx. Reason., 2010

The Cost of Troubleshooting Cost Clusters with Inside Information.
Proceedings of the UAI 2010, 2010

2009
A comparison of two approaches for solving unconstrained influence diagrams.
Int. J. Approx. Reason., 2009

2008
Acting under Interference by other Agents with unknown Goals.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Better Safe than Sorry - Optimal Troubleshooting through A* Search with Efficiency-based Pruning.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

2007
On-line alert systems for production plants: A conflict based approach.
Int. J. Approx. Reason., 2007

Public participation modelling using Bayesian networks in management of groundwater contamination.
Environ. Model. Softw., 2007

2006
Inference in multiply sectioned Bayesian networks: methods and performance comparison.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Sequential influence diagrams: A unified asymmetry framework.
Int. J. Approx. Reason., 2006

A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning.
Environ. Model. Softw., 2005

Alert Systems for Production Plants: A Methodology Based on Conflict Analysis.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Bayesian Artificial Intelligence.
Pattern Anal. Appl., 2004

An Extension Of Lazy Evaluation For Influence Diagrams Avoiding Redundant Variables In The Potentials.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

Latent variable discovery in classification models.
Artif. Intell. Medicine, 2004

Learning a decision maker's utility function from (possibly) inconsistent behavior.
Artif. Intell., 2004

Parameter Reusing in Learning Latent Class Models.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

2003
Sensitivity analysis in influence diagrams.
IEEE Trans. Syst. Man Cybern. Part A, 2003

Decision theoretic troubleshooting of coherent systems.
Reliab. Eng. Syst. Saf., 2003

Representing and Solving Asymmetric Decision Problems.
Int. J. Inf. Technol. Decis. Mak., 2003

Plug & Play Object Oriented Bayesian Networks.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
Unconstrained Influence Diagrams.
Proceedings of the UAI '02, 2002

Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

2001
The SACSO methodology for troubleshooting complex systems.
Artif. Intell. Eng. Des. Anal. Manuf., 2001

Cutting Influence Diagrams Down to the Core.
Proceedings of the SCAI'01, 2001

Heuristics for Two Extensions of Basic Troubleshooting.
Proceedings of the SCAI'01, 2001

The SACSO System for Troubleshooting of Printing Systems.
Proceedings of the SCAI'01, 2001

Graphical Models as Languages for Computer Assisted Diagnosis and Decision Making.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Bayesian Networks and Decision Graphs
Statistics for Engineering and Information Science, Springer, ISBN: 978-1-4757-3502-4, 2001

2000
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks.
Int. J. Pattern Recognit. Artif. Intell., 2000

Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Representing and Solving Asymmetric Bayesian Decision Problems.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Printer Troubleshooting Using Bayesian Networks.
Proceedings of the Intelligent Problem Solving, 2000

1999
LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation.
Artif. Intell., 1999

Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Welldefined Decision Scenarios.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Lazy Evaluation of Symmetric Bayesian Decision Problems.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Some Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Gradient Descent Training of Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1998
Lazy Propagation in Junction Trees.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

ProbSy--A System for the Calculation of Probabilities in the Card Game Bridge.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997
Local Computation with Valuations from a Commutative Semigroup.
Ann. Math. Artif. Intell., 1997

Myopic Value of Information in Influence Diagrams.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996
MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Cautious Propagation in Bayesian Networks.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Sensitivity Analysis in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

1994
From Influence Diagrams to junction Trees.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Optimal junction Trees.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1992
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991
Calculation in HUGIN of Probabilities for Specific Configurations: A Trick with Many Applications.
Proceedings of the Third Scandinavian Conference on Artificial Intelligence, 1991

1990
An algebra of bayesian belief universes for knowledge-based systems.
Networks, 1990

Analysis in HUGIN of data conflict.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

1989
A munin network for the median nerve - a case study on loops.
Appl. Artif. Intell., 1989

HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1987
Recursively Defined Doains and their Induction Principles.
Theor. Comput. Sci., 1987

1985
Recursively Defined Domains and Their Induction Principles.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1985


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