Prakash P. Shenoy
Orcid: 0000-0002-8425-896X
According to our database1,
Prakash P. Shenoy
authored at least 114 papers
between 1982 and 2024.
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Bibliography
2024
A naïve Bayes regularized logistic regression estimator for low-dimensional classification.
Int. J. Approx. Reason., 2024
Proceedings of the Belief Functions: Theory and Applications, 2024
2023
Int. J. Approx. Reason., October, 2023
Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach.
Int. J. Approx. Reason., September, 2023
On conditional belief functions in directed graphical models in the Dempster-Shafer theory.
Int. J. Approx. Reason., September, 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
2022
Int. J. Approx. Reason., 2022
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer.
Int. J. Approx. Reason., 2022
Proceedings of the Belief Functions: Theory and Applications, 2022
2021
Proceedings of the Belief Functions: Theory and Applications, 2021
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
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
Proceedings of the Belief Functions: Theory and Applications, 2014
2013
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
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
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
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
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997
A Comparison of Decision Trees, Influence Diagrams and Valuation Networks for Asymmetric Decision Problems.
Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997
1996
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996
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
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992
1991
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991
1990
Int. J. Approx. Reason., 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
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
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