Prakash P. Shenoy

According to our database1, Prakash P. Shenoy authored at least 99 papers between 1982 and 2020.

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

Timeline

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Bibliography

2020
An expectation operator for belief functions in the Dempster-Shafer theory.
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

On properties of a new decomposable entropy of Dempster-Shafer belief functions.
Int. J. Approx. Reason., 2020

An interval-valued utility theory for decision making with Dempster-Shafer belief functions.
Int. J. Approx. Reason., 2020

2019
Evidence gathering for hypothesis resolution using judicial evidential reasoning.
Inf. Fusion, 2019

An Axiomatic Utility Theory for Dempster-Shafer Belief Functions.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018
An adaptive heuristic for feature selection based on complementarity.
Mach. Learn., 2018

A new definition of entropy of belief functions in the Dempster-Shafer theory.
Int. J. Approx. Reason., 2018

Combination and Composition in Probabilistic Models.
Proceedings of the Econometrics for Financial Applications, 2018

A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals.
Int. J. Intell. Syst., 2017

On computing probabilities of dismissal of 10b-5 securities class-action cases.
Decis. Support Syst., 2017

Ambiguity aversion and a decision-theoretic framework using belief functions.
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

Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective.
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
Compositional models in valuation-based systems.
Int. J. Approx. Reason., 2014

Causal Compositional Models in Valuation-Based Systems.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
CoRR, 2013

An Axiomatic Framework for Bayesian and Belief-function Propagation
CoRR, 2013

Valuation-Based Systems for Discrete Optimization
CoRR, 2013

Conditional Independence in Uncertainty Theories
CoRR, 2013

On Transformations between Probability and Spohnian Disbelief Functions
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

Conditioning in Decomposable Compositional Models in Valuation-Based Systems.
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

Inference in hybrid Bayesian networks using mixtures of polynomials.
Int. J. Approx. Reason., 2011

A decision theory for partially consonant belief functions.
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

Solving Hybrid Influence Diagrams with Deterministic Variables.
Proceedings of the UAI 2010, 2010

2009
Arc reversals in hybrid Bayesian networks with deterministic variables.
Int. J. Approx. Reason., 2009

Inference in Hybrid Bayesian Networks with Deterministic Variables.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Axioms for Probability and Belief-Function Propagation.
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
Using Bayesian networks for bankruptcy prediction: Some methodological issues.
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

Sequential influence diagrams: A unified asymmetry framework.
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

Inference in hybrid Bayesian networks with mixtures of truncated exponentials.
Int. J. Approx. Reason., 2006

Sequential valuation networks for asymmetric decision problems.
Eur. J. Oper. Res., 2006

Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians.
Proceedings of the UAI '06, 2006

2005
Two axiomatic approaches to decision making using possibility theory.
Eur. J. Oper. Res., 2005

Decision making on the sole basis of statistical likelihood.
Artif. Intell., 2005

Hybrid Bayesian Networks with Linear Deterministic Variables.
Proceedings of the UAI '05, 2005

No Double Counting Semantics for Conditional Independence.
Proceedings of the ISIPTA '05, 2005

Nonlinear Deterministic Relationships in Bayesian Networks.
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

A causal mapping approach to constructing Bayesian networks.
Decis. Support Syst., 2004

Representing asymmetric decision problems using coarse valuations.
Decis. Support Syst., 2004

Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials.
Proceedings of the UAI '04, 2004

2003
Application of Uncertain Reasoning to Business Decisions: An Introduction.
Inf. Syst. Frontiers, 2003

A Comparison of Bayesian and Belief Function Reasoning.
Inf. Syst. Frontiers, 2003

A Linear Belief Function Approach to Portfolio Evaluation.
Proceedings of the UAI '03, 2003

Decision Making with Partially Consonant Belief Functions.
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
Statistical Decisions Using Likelihood Information Without Prior Probabilities.
Proceedings of the UAI '02, 2002

2001
A Bayesian network approach to making inferences in causal maps.
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
Valuation network representation and solution of asymmetric decision problems.
Eur. J. Oper. Res., 2000

A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999
On Transformations between Probability and Spolinian Disbelief Functions.
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
Binary join trees for computing marginals in the Shenoy-Shafer architecture.
Int. J. Approx. Reason., 1997

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

1995
Propagating belief functions in AND-trees.
Int. J. Intell. Syst., 1995

A New Pruning Method for Solving Decision Trees and Game Trees.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Representing and Solving Asymmetric Decision Problems Using Valuation Networks.
Proceedings of the Learning from Data, 1995

1994
Consistency in Valuation-Based Systems.
INFORMS J. Comput., 1994

Representing Conditional Independence Relations by Valuation Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

Conditional independence in valuation-based systems.
Int. J. Approx. Reason., 1994

Discussion of Kyburg's "Believing on the Basis of Evidence".
Comput. Intell., 1994

1993
Valuation Networks and Conditional Independence.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Information Sets in Decision Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

1992
Valuation-Based Systems for Bayesian Decision Analysis.
Oper. Res., 1992

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

1991
On Spohn's rule for revision of beliefs.
Int. J. Approx. Reason., 1991

A Fusion Algorithm for Solving Bayesian Decision Problems.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

1990
Belief functions and belief maintenance in artificial intelligence.
Int. J. Approx. Reason., 1990

Probability propagation.
Ann. Math. Artif. Intell., 1990

Valuation-based systems for discrete optimisation.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

On Spohn's Theory of Epistemic Beliefs.
Proceedings of the Uncertainty in Knowledge Bases, 1990

1989
A valuation-based language for expert systems.
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
Propagating belief functions in qualitative Markov trees.
Int. J. Approx. Reason., 1987

Modifiable combining functions.
Artif. Intell. Eng. Des. Anal. Manuf., 1987

1986
Propagating Belief Functions with Local Computations.
IEEE Expert, 1986

Propagation of belief functions: a distributed approach.
Proceedings of the UAI '86: Proceedings of the Second Annual Conference on Uncertainty in Artificial Intelligence, 1986

Qualitative Markov networks.
Proceedings of the Uncertainty in Knowledge-Based Systems, 1986

1982
The Banzhaf power index for political games.
Math. Soc. Sci., 1982


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