Ross D. Shachter

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021

WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants.

[BibT_eX]

[DOI]

Mykel J. Kochenderfer

Abhishek Dubey

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Uncertainty Aware Wildfire Management.

[BibT_eX]

[DOI]

Mykel J. Kochenderfer

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2017

Dynamic strategy for personalized medicine: An application to metastatic breast cancer.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2017

2016

Decisions and Dependence in Influence Diagrams.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Complexity of the Exact Solution to the Test Sequencing Problem.

[BibT_eX]

[DOI]

Wenhao Liu

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2013

Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (1988)

[BibT_eX]

[DOI]

CoRR, 2013

Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (1989)

[BibT_eX]

[DOI]

CoRR, 2013

Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs.

[BibT_eX]

[DOI]

Charles Tripp

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012

Formulating Asymmetric Decision Problems as Decision Circuits.

[BibT_eX]

[DOI]

Decis. Anal., 2012

Backtracking for More Efficient Large Scale Dynamic Programming.

[BibT_eX]

[DOI]

Charles Tripp

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Strictly Proper Mechanisms with Cooperating Players.

[BibT_eX]

[DOI]

SangIn Chun

Proceedings of the UAI 2011, 2011

2010

Dynamic programming in in uence diagrams with decision circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Three new sensitivity analysis methods for influence diagrams.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

2008

Sensitivity analysis in decision circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

2007

Evaluating influence diagrams with decision circuits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

2005

Individualizing generic decision models using assessments as evidence.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2005

Influence Diagrams for Team Decision Analysis.

[BibT_eX]

[DOI]

Apiruk Detwarasiti

Decis. Anal., 2005

2004

Using a Bayesian Network to Predict the Probability and Type of Breast Cancer Represented by Microcalcifications on Mammography.

[BibT_eX]

[DOI]

Elizabeth S. Burnside

Daniel L. Rubin

Proceedings of the MEDINFO 2004, 2004

Improving a Bayesian network's ability to predict the probability of malignancy of microcalcifications on mammography.

[BibT_eX]

Elizabeth S. Burnside

Daniel L. Rubin

Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2002

An Approach to Automate and Individualize Interactive Decision Support for Patients.

[BibT_eX]

[DOI]

Leslie A. Lenert

Proceedings of the AMIA 2002, 2002

2001

Using Decision Models To Automate and Individualize Interactive Patient-oriented Decision Support Aids.

[BibT_eX]

[DOI]

Leslie A. Lenert

Proceedings of the AMIA 2001, 2001

SecondOpinion: A Framework for Using Decision Models to Automate and Individualize Interactive Patient-oriented Decision Support Aids.

[BibT_eX]

[DOI]

Leslie A. Lenert

Proceedings of the AMIA 2001, 2001

Using background knowledge to speed reinforcement learning in physical agents.

[BibT_eX]

[DOI]

Daniel G. Shapiro

Pat Langley

Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000

A Bayesian network for mammography.

[BibT_eX]

[DOI]

Elizabeth S. Burnside

Daniel L. Rubin

Proceedings of the AMIA 2000, 2000

1999

Efficient Value of Information Computation.

[BibT_eX]

[DOI]

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

1998

A Dynamic HIV-Transmission Model for Evaluating the Costs and Benefits of Vaccine Programs.

[BibT_eX]

[DOI]

Donna M. Edwards

Douglas K. Owens

Interfaces, 1998

Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams).

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Learning From What You Don't Observe.

[BibT_eX]

[DOI]

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1996

A Measure of Decision Flexibility.

[BibT_eX]

[DOI]

Marvin Mandelbaum

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995

Decision-Theoretic Foundations for Causal Reasoning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1995

A Definition and Graphical Representation for Causality.

[BibT_eX]

[DOI]

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Decision Flexibility.

[BibT_eX]

[DOI]

Tom Chávez

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1994

Global Conditioning for Probabilistic Inference in Belief Networks.

[BibT_eX]

[DOI]

Stig K. Andersen

Peter Szolovits

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

Three Approaches to Probability Model Selection.

[BibT_eX]

[DOI]

William B. Poland

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

A Decision-based View of Causality.

[BibT_eX]

[DOI]

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

Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables.

[BibT_eX]

[DOI]

Adriano Azevedo-Filho

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

1993

Using Potential Influence Diagrams for Probabilistic Inference and Decision Making.

[BibT_eX]

[DOI]

Pierre Ndilikilikesha

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties.

[BibT_eX]

[DOI]

William B. Poland

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

End-User Construction of Influence Diagrams for Bayesian Statistics.

[BibT_eX]

[DOI]

Harold P. Lehmann

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992

Patient-specific explanation in models of chronic disease.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 1992

Decision Making Using Probabilistic Inference Methods.

[BibT_eX]

[DOI]

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

Structural Controllability and Observability in Influence Diagrams.

[BibT_eX]

[DOI]

Brian Y. Chan

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991

Fusion and Propagation with Multiple Observations in Belief Networks.

[BibT_eX]

[DOI]

Artif. Intell., 1991

A Graph-Based Inference Method for Conditional Independence.

[BibT_eX]

[DOI]

Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990

Dynamic programming and influence diagrams.

[BibT_eX]

[DOI]

Joseph A. Tatman

IEEE Trans. Syst. Man Cybern., 1990

An ordered examination of influence diagrams.

[BibT_eX]

[DOI]

Networks, 1990

Introduction.

[BibT_eX]

[DOI]

Networks, 1990

Directed reduction algorithms and decomposable graphs.

[BibT_eX]

[DOI]

Stig K. Andersen

Kim-Leng Poh

Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

Symbolic Probabilistic Inference in Belief Networks.

[BibT_eX]

[DOI]

Bruce D'Ambrosio

Brendan Del Favero

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Simulation Approaches to General Probabilistic Inference on Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

Evidence Absorption and Propagation through Evidence Reversals.

[BibT_eX]

[DOI]

Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

1988

Probabilistic Inference and Influence Diagrams.

[BibT_eX]

[DOI]

Oper. Res., 1988

A heuristic Bayesian approach to knowledge acquisition: Application to analysis of tissue-type plasminogen activator.

[BibT_eX]

Int. J. Approx. Reason., 1988

Efficient inference on generalized fault diagrams.

[BibT_eX]

Int. J. Approx. Reason., 1988

A linear approximation method for probabilistic inference.

[BibT_eX]

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988

1987

Thinking Backward for Knowledge Acquisition.

[BibT_eX]

[DOI]

AI Mag., 1987

Efficient Inference on Generalized Fault Diagrams.

[BibT_eX]

[DOI]

Leonard J. Bertrand

Proceedings of the UAI '87: Proceedings of the Third Annual Conference on Uncertainty in Artificial Intelligence, 1987

1986

Evaluating Influence Diagrams.

[BibT_eX]

[DOI]

Oper. Res., 1986

A backwards view for assessment.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

DAVID: influence diagram processing system for the macintosh.

[BibT_eX]

[DOI]

Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

1985

Intelligent Probabilistic Inference.

[BibT_eX]

[DOI]