# Prakash P. Shenoy

According to our database

Collaborative distances:

^{1}, Prakash P. Shenoy authored at least 99 papers between 1982 and 2020.Collaborative distances:

## Timeline

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## Bibliography

2020

Int. J. Gen. Syst., 2020

A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification.

Int. J. Approx. Reason., 2020

Int. J. Approx. Reason., 2020

An interval-valued utility theory for decision making with Dempster-Shafer belief functions.

Int. J. Approx. Reason., 2020

2019

Inf. Fusion, 2019

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018

Mach. Learn., 2018

Int. J. Approx. Reason., 2018

Proceedings of the Econometrics for Financial Applications, 2018

Proceedings of the Belief Functions: Theory and Applications, 2018

2017

Int. J. Intell. Syst., 2017

Decis. Support Syst., 2017

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016

Causal compositional models in valuation-based systems with examples in specific theories.

Int. J. Approx. Reason., 2016

A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores.

Ann. Oper. Res., 2016

On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification.

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

Proceedings of the Belief Functions: Theory and Applications, 2016

2015

Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals.

Int. J. Intell. Syst., 2015

2014

Int. J. Approx. Reason., 2014

Proceedings of the Belief Functions: Theory and Applications, 2014

2013

Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)

CoRR, 2013

CoRR, 2013

CoRR, 2013

CoRR, 2013

CoRR, 2013

2012

Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks.

Int. J. Approx. Reason., 2012

A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions.

Decis. Anal., 2012

Proceedings of the Advances in Computational Intelligence, 2012

2011

Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals.

Int. J. Approx. Reason., 2011

Int. J. Approx. Reason., 2011

Int. J. Approx. Reason., 2011

Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals.

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

Modeling challenges with influence diagrams: Constructing probability and utility models.

Decis. Support Syst., 2010

Proceedings of the UAI 2010, 2010

2009

Int. J. Approx. Reason., 2009

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Proceedings of the Classic Works of the Dempster-Shafer Theory of Belief Functions, 2008

Decision making with hybrid influence diagrams using mixtures of truncated exponentials.

Eur. J. Oper. Res., 2008

2007

Eur. J. Oper. Res., 2007

Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006

Knowledge representation and integration for portfolio evaluation using linear belief functions.

IEEE Trans. Syst. Man Cybern. Part A, 2006

Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials.

Stat. Comput., 2006

Int. J. Approx. Reason., 2006

Operations for inference in continuous Bayesian networks with linear deterministic variables.

Int. J. Approx. Reason., 2006

On the plausibility transformation method for translating belief function models to probability models.

Int. J. Approx. Reason., 2006

Int. J. Approx. Reason., 2006

Eur. J. Oper. Res., 2006

Proceedings of the UAI '06, 2006

2005

Eur. J. Oper. Res., 2005

Artif. Intell., 2005

Proceedings of the UAI '05, 2005

No Double Counting Semantics for Conditional Independence.

Proceedings of the ISIPTA '05, 2005

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation.

Manag. Sci., 2004

Decis. Support Syst., 2004

Decis. Support Syst., 2004

Proceedings of the UAI '04, 2004

2003

Inf. Syst. Frontiers, 2003

Inf. Syst. Frontiers, 2003

Proceedings of the UAI '03, 2003

Proceedings of the UAI '03, 2003

A Comparison of Methods for Transforming Belief Function Models to Probability Models.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002

Proceedings of the UAI '02, 2002

2001

Eur. J. Oper. Res., 2001

A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory.

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems.

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000

Eur. J. Oper. Res., 2000

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999

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

1998

Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals.

Artif. Intell., 1998

A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions.

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

1997

Int. J. Approx. Reason., 1997

1996

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

1995

Int. J. Intell. Syst., 1995

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

Proceedings of the Learning from Data, 1995

1994

INFORMS J. Comput., 1994

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

Int. J. Approx. Reason., 1994

Comput. Intell., 1994

1993

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

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

1992

Oper. Res., 1992

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

1991

Int. J. Approx. Reason., 1991

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

1990

Int. J. Approx. Reason., 1990

Ann. Math. Artif. Intell., 1990

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

Proceedings of the Uncertainty in Knowledge Bases, 1990

1989

Int. J. Approx. Reason., 1989

1988

Axioms for probability and belief-function proagation.

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

1987

Int. J. Approx. Reason., 1987

Artif. Intell. Eng. Des. Anal. Manuf., 1987

1986

IEEE Expert, 1986

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

Proceedings of the Uncertainty in Knowledge-Based Systems, 1986

1982

Math. Soc. Sci., 1982