Prakash P. Shenoy

135 papers A 24C 11Journal 84Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A naïve Bayes regularized logistic regression estimator for low-dimensional classification. Int. J. Approx. Reason. Yi Tan, Ben Sherwood, Prakash P. Shenoy
2024	J	`jnl`	Bayesian Network Models for PTSD Screening in Veterans. INFORMS J. Comput. Yi Tan, Prakash P. Shenoy, Ben Sherwood, Catherine Shenoy, Melinda Gaddy, Mary E. Oehlert
2024	—	`conf`	Mutual Information and Kullback-Leibler Divergence in the Dempster-Shafer Theory. BELIEF Prakash P. Shenoy
2023	J	`jnl`	Computing the decomposable entropy of belief-function graphical models. Int. J. Approx. Reason. Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2023	J	`jnl`	Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach. Int. J. Approx. Reason. Prakash P. Shenoy
2023	J	`jnl`	On conditional belief functions in directed graphical models in the Dempster-Shafer theory. Int. J. Approx. Reason. Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2023	—	`conf`	On distinct belief functions in the Dempster-Shafer theory. ISIPTA Prakash P. Shenoy
2023	—	`conf`	On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions. ISIPTA Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2022	J	`jnl`	Entropy for evaluation of Dempster-Shafer belief function models. Int. J. Approx. Reason. Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2022	J	`jnl`	Glenn Shafer - A short biography. Int. J. Approx. Reason. John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
2022	—	`conf`	On Conditional Belief Functions in the Dempster-Shafer Theory. BELIEF Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2022	J	`jnl`	Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. Int. J. Approx. Reason. John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk
2021	—	`conf`	Entropy-Based Learning of Compositional Models from Data. BELIEF Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy
2020	J	`jnl`	A bias-variance based heuristic for constructing a hybrid logistic regression-naïve Bayes model for classification. Int. J. Approx. Reason. Yi Tan, Prakash P. Shenoy
2020	J	`jnl`	An expectation operator for belief functions in the Dempster-Shafer theory. Int. J. Gen. Syst. Prakash P. Shenoy
2020	J	`jnl`	An interval-valued utility theory for decision making with Dempster-Shafer belief functions. Int. J. Approx. Reason. Thierry Denoeux, Prakash P. Shenoy
2020	J	`jnl`	On properties of a new decomposable entropy of Dempster-Shafer belief functions. Int. J. Approx. Reason. Radim Jirousek, Prakash P. Shenoy
2019	—	`conf`	An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. ISIPTA Thierry Denoeux, Prakash P. Shenoy
2019	J	`jnl`	An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. CoRR Thierry Denoeux, Prakash P. Shenoy
2019	J	`jnl`	Evidence gathering for hypothesis resolution using judicial evidential reasoning. Inf. Fusion Andris Davis Jaunzemis, Marcus J. Holzinger, Moses W. Chan, Prakash P. Shenoy
2018	—	`conf`	A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory. BELIEF Radim Jirousek, Prakash P. Shenoy
2018	J	`jnl`	A new definition of entropy of belief functions in the Dempster-Shafer theory. Int. J. Approx. Reason. Radim Jirousek, Prakash P. Shenoy
2018	J	`jnl`	An adaptive heuristic for feature selection based on complementarity. Mach. Learn. Sumanta Singha, Prakash P. Shenoy
2018	—	`conf`	Combination and Composition in Probabilistic Models. ECONVN Radim Jirousek, Prakash P. Shenoy
2018	C	`conf`	Evidence Gathering for Hypothesis Resolution Using Judicial Evidential Reasoning. FUSION Andris Davis Jaunzemis, Marcus J. Holzinger, Moses W. Chan, Prakash P. Shenoy
2017	—	`conf`	Ambiguity aversion and a decision-theoretic framework using belief functions. SSCI Radim Jirousek, Prakash P. Shenoy
2017	J	`jnl`	Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals. Int. J. Intell. Syst. Barry R. Cobb, Prakash P. Shenoy
2017	J	`jnl`	On computing probabilities of dismissal of 10b-5 securities class-action cases. Decis. Support Syst. Sumanta Singha, Steve Hillmer, Prakash P. Shenoy
2016	J	`jnl`	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. Esma Nur Cinicioglu, Prakash P. Shenoy
2016	J	`jnl`	Causal compositional models in valuation-based systems with examples in specific theories. Int. J. Approx. Reason. Radim Jirousek, Prakash P. Shenoy
2016	—	`conf`	Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective. BELIEF Radim Jirousek, Prakash P. Shenoy
2016	—	`conf`	On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification. Probabilistic Graphical Models Yi Tan, Prakash P. Shenoy, Moses W. Chan, Paul M. Romberg
2015	J	`jnl`	Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. Int. J. Intell. Syst. Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
2014	—	`conf`	Causal Compositional Models in Valuation-Based Systems. Belief Functions Radim Jirousek, Prakash P. Shenoy
2014	J	`jnl`	Compositional models in valuation-based systems. Int. J. Approx. Reason. Radim Jirousek, Prakash P. Shenoy
2013	J	`jnl`	A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory CoRR Phan Hong Giang, Prakash P. Shenoy
2013	J	`jnl`	A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions CoRR Vasilica Lepar, Prakash P. Shenoy
2013	J	`jnl`	A Fusion Algorithm for Solving Bayesian Decision Problems CoRR Prakash P. Shenoy
2013	J	`jnl`	A New Pruning Method for Solving Decision Trees and Game Trees CoRR Prakash P. Shenoy
2013	J	`jnl`	A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs CoRR Phan Hong Giang, Prakash P. Shenoy
2013	J	`jnl`	An Axiomatic Framework for Bayesian and Belief-function Propagation CoRR Prakash P. Shenoy, Glenn Shafer
2013	J	`jnl`	Binary Join Trees CoRR Prakash P. Shenoy
2013	J	`jnl`	Conditional Independence in Uncertainty Theories CoRR Prakash P. Shenoy
2013	J	`jnl`	Modifiable Combining Functions CoRR Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy
2013	J	`jnl`	On Transformations between Probability and Spohnian Disbelief Functions CoRR Phan Hong Giang, Prakash P. Shenoy
2013	J	`jnl`	Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997) CoRR Dan Geiger, Prakash P. Shenoy
2013	J	`jnl`	Propagation of Belief Functions: A Distributed Approach CoRR Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
2013	J	`jnl`	Statistical Decisions Using Likelihood Information Without Prior Probabilities CoRR Phan Hong Giang, Prakash P. Shenoy
2013	J	`jnl`	Valuation Networks and Conditional Independence CoRR Prakash P. Shenoy
2013	J	`jnl`	Valuation-Based Systems for Discrete Optimization CoRR Prakash P. Shenoy, Glenn Shafer
2012	J	`jnl`	A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions. Decis. Anal. Yijing Li, Prakash P. Shenoy
2012	J	`jnl`	A Linear Belief Function Approach to Portfolio Evaluation CoRR Liping Liu, Catherine Shenoy, Prakash P. Shenoy
2012	—	`conf`	Compositional Models in Valuation-Based Systems. Belief Functions Radim Jirousek, Prakash P. Shenoy
2012	—	`conf`	Conditioning in Decomposable Compositional Models in Valuation-Based Systems. IPMU (4) Radim Jirousek, Prakash P. Shenoy
2012	J	`jnl`	Decision Making with Partially Consonant Belief Functions CoRR Phan Hong Giang, Prakash P. Shenoy
2012	J	`jnl`	Hybrid Bayesian Networks with Linear Deterministic Variables CoRR Barry R. Cobb, Prakash P. Shenoy
2012	J	`jnl`	Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials CoRR Barry R. Cobb, Prakash P. Shenoy
2012	J	`jnl`	Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians. CoRR Prakash P. Shenoy
2012	J	`jnl`	Solving Hybrid Influence Diagrams with Deterministic Variables CoRR Yijing Li, Prakash P. Shenoy
2012	J	`jnl`	Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks. Int. J. Approx. Reason. Prakash P. Shenoy
2011	C	`conf`	A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks. ECSQARU Prakash P. Shenoy
2011	J	`jnl`	A decision theory for partially consonant belief functions. Int. J. Approx. Reason. Phan Hong Giang, Prakash P. Shenoy
2011	J	`jnl`	Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals. Int. J. Approx. Reason. Prakash P. Shenoy, James C. West
2011	J	`jnl`	Inference in hybrid Bayesian networks using mixtures of polynomials. Int. J. Approx. Reason. Prakash P. Shenoy, James C. West
2011	C	`conf`	Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. ISDA Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
2010	J	`jnl`	Modeling challenges with influence diagrams: Constructing probability and utility models. Decis. Support Syst. Concha Bielza, Manuel Gómez, Prakash P. Shenoy
2010	A	`conf`	Solving Hybrid Influence Diagrams with Deterministic Variables. UAI Yijing Li, Prakash P. Shenoy
2009	J	`jnl`	Arc reversals in hybrid Bayesian networks with deterministic variables. Int. J. Approx. Reason. Esma Nur Cinicioglu, Prakash P. Shenoy
2009	C	`conf`	Inference in Hybrid Bayesian Networks with Deterministic Variables. ECSQARU Prakash P. Shenoy, James C. West
2008	—	`ch.`	Axioms for Probability and Belief-Function Propagation. Classic Works of the Dempster-Shafer Theory of Belief Functions Prakash P. Shenoy, Glenn Shafer
2008	J	`jnl`	Decision making with hybrid influence diagrams using mixtures of truncated exponentials. Eur. J. Oper. Res. Barry R. Cobb, Prakash P. Shenoy
2007	C	`conf`	Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks. ECSQARU Esma Nur Cinicioglu, Prakash P. Shenoy, Canan Kocabasoglu
2007	J	`jnl`	Using Bayesian networks for bankruptcy prediction: Some methodological issues. Eur. J. Oper. Res. Lili Sun, Prakash P. Shenoy
2006	J	`jnl`	Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Stat. Comput. Barry R. Cobb, Prakash P. Shenoy, Rafael Rumí
2006	A	`conf`	Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians. UAI Prakash P. Shenoy
2006	J	`jnl`	Inference in hybrid Bayesian networks with mixtures of truncated exponentials. Int. J. Approx. Reason. Barry R. Cobb, Prakash P. Shenoy
2006	J	`jnl`	Knowledge representation and integration for portfolio evaluation using linear belief functions. IEEE Trans. Syst. Man Cybern. Part A Liping Liu, Catherine Shenoy, Prakash P. Shenoy
2006	J	`jnl`	On the plausibility transformation method for translating belief function models to probability models. Int. J. Approx. Reason. Barry R. Cobb, Prakash P. Shenoy
2006	J	`jnl`	Operations for inference in continuous Bayesian networks with linear deterministic variables. Int. J. Approx. Reason. Barry R. Cobb, Prakash P. Shenoy
2006	J	`jnl`	Sequential influence diagrams: A unified asymmetry framework. Int. J. Approx. Reason. Finn Verner Jensen, Thomas D. Nielsen, Prakash P. Shenoy
2006	J	`jnl`	Sequential valuation networks for asymmetric decision problems. Eur. J. Oper. Res. Riza Demirer, Prakash P. Shenoy
2005	J	`jnl`	Decision making on the sole basis of statistical likelihood. Artif. Intell. Phan Hong Giang, Prakash P. Shenoy
2005	A	`conf`	Hybrid Bayesian Networks with Linear Deterministic Variables. UAI Barry R. Cobb, Prakash P. Shenoy
2005	—	`conf`	No Double Counting Semantics for Conditional Independence. ISIPTA Prakash P. Shenoy
2005	C	`conf`	Nonlinear Deterministic Relationships in Bayesian Networks. ECSQARU Barry R. Cobb, Prakash P. Shenoy
2005	J	`jnl`	Two axiomatic approaches to decision making using possibility theory. Eur. J. Oper. Res. Phan Hong Giang, Prakash P. Shenoy
2004	J	`jnl`	A causal mapping approach to constructing Bayesian networks. Decis. Support Syst. Sucheta Nadkarni, Prakash P. Shenoy
2004	A	`conf`	Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials. UAI Barry R. Cobb, Prakash P. Shenoy
2004	J	`jnl`	Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation. Manag. Sci. John M. Charnes, Prakash P. Shenoy
2004	J	`jnl`	Representing asymmetric decision problems using coarse valuations. Decis. Support Syst. Liping Liu, Prakash P. Shenoy
2003	J	`jnl`	A Comparison of Bayesian and Belief Function Reasoning. Inf. Syst. Frontiers Barry R. Cobb, Prakash P. Shenoy
2003	C	`conf`	A Comparison of Methods for Transforming Belief Function Models to Probability Models. ECSQARU Barry R. Cobb, Prakash P. Shenoy
2003	A	`conf`	A Linear Belief Function Approach to Portfolio Evaluation. UAI Liping Liu, Catherine Shenoy, Prakash P. Shenoy
2003	J	`jnl`	Application of Uncertain Reasoning to Business Decisions: An Introduction. Inf. Syst. Frontiers Prakash P. Shenoy, Rajendra P. Srivastava
2003	A	`conf`	Decision Making with Partially Consonant Belief Functions. UAI Phan Hong Giang, Prakash P. Shenoy
2002	A	`conf`	Statistical Decisions Using Likelihood Information Without Prior Probabilities. UAI Phan Hong Giang, Prakash P. Shenoy
2001	J	`jnl`	A Bayesian network approach to making inferences in causal maps. Eur. J. Oper. Res. Sucheta Nadkarni, Prakash P. Shenoy
2001	A	`conf`	A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory. UAI Phan Hong Giang, Prakash P. Shenoy
2001	C	`conf`	Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems. ECSQARU Riza Demirer, Prakash P. Shenoy
2000	A	`conf`	A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. UAI Phan Hong Giang, Prakash P. Shenoy
2000	J	`jnl`	Valuation network representation and solution of asymmetric decision problems. Eur. J. Oper. Res. Prakash P. Shenoy
1999	A	`conf`	On Transformations between Probability and Spolinian Disbelief Functions. UAI Phan Hong Giang, Prakash P. Shenoy
1998	A	`conf`	A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions. UAI Vasilica Lepar, Prakash P. Shenoy
1998	J	`jnl`	Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals. Artif. Intell. Tuija Schmidt, Prakash P. Shenoy
1997	A	`conf`	A Comparison of Decision Trees, Influence Diagrams and Valuation Networks for Asymmetric Decision Problems. AISTATS Concha Bielza, Prakash P. Shenoy
1997	A	`conf`	A Forward Monte Carlo Method for Solving Influence Diagrams using local Computation. AISTATS John M. Charnes, Prakash P. Shenoy
1997	J	`jnl`	Binary join trees for computing marginals in the Shenoy-Shafer architecture. Int. J. Approx. Reason. Prakash P. Shenoy
1997	A	`ed.`	UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Brown University, Providence, Rhode Island, USA, August 1-3, 1997 UAI Dan Geiger, Prakash P. Shenoy
1996	A	`conf`	Binary Join Trees. UAI Prakash P. Shenoy
1995	A	`conf`	A New Pruning Method for Solving Decision Trees and Game Trees. UAI Prakash P. Shenoy
1995	J	`jnl`	Propagating belief functions in AND-trees. Int. J. Intell. Syst. Rajendra P. Srivastava, Prakash P. Shenoy, Glenn R. Shafer
1995	A	`conf`	Representing and Solving Asymmetric Decision Problems Using Valuation Networks. AISTATS Prakash P. Shenoy
1994	J	`jnl`	Conditional independence in valuation-based systems. Int. J. Approx. Reason. Prakash P. Shenoy
1994	J	`jnl`	Consistency in Valuation-Based Systems. INFORMS J. Comput. Prakash P. Shenoy
1994	J	`jnl`	Discussion of Kyburg's "Believing on the Basis of Evidence". Comput. Intell. Prakash P. Shenoy
1994	J	`jnl`	Representing Conditional Independence Relations by Valuation Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Prakash P. Shenoy
1993	C	`conf`	Information Sets in Decision Theory. ECSQARU Prakash P. Shenoy
1993	A	`conf`	Valuation Networks and Conditional Independence. UAI Prakash P. Shenoy
1992	A	`conf`	Conditional lndependence in Uncertainty Theories. UAI Prakash P. Shenoy
1992	J	`jnl`	Valuation-Based Systems for Bayesian Decision Analysis. Oper. Res. Prakash P. Shenoy
1991	A	`conf`	A Fusion Algorithm for Solving Bayesian Decision Problems. UAI Prakash P. Shenoy
1991	J	`jnl`	On Spohn's rule for revision of beliefs. Int. J. Approx. Reason. Prakash P. Shenoy
1990	J	`jnl`	Belief functions and belief maintenance in artificial intelligence. Int. J. Approx. Reason. Prakash P. Shenoy, Gautam Biswas
1990	C	`conf`	On Spohn's Theory of Epistemic Beliefs. IPMU Prakash P. Shenoy
1990	J	`jnl`	Probability propagation. Ann. Math. Artif. Intell. Glenn Shafer, Prakash P. Shenoy
1990	A	`conf`	Valuation-based systems for discrete optimisation. UAI Prakash P. Shenoy
1989	J	`jnl`	A valuation-based language for expert systems. Int. J. Approx. Reason. Prakash P. Shenoy
1988	A	`conf`	Axioms for probability and belief-function proagation. UAI Prakash P. Shenoy, Glenn Shafer
1987	A	`conf`	Modifiable Combining Functions. UAI Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy
1987	J	`jnl`	Modifiable combining functions. Artif. Intell. Eng. Des. Anal. Manuf. Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy
1987	J	`jnl`	Propagating belief functions in qualitative Markov trees. Int. J. Approx. Reason. Glenn Shafer, Prakash P. Shenoy, Khaled Mellouli
1986	J	`jnl`	Propagating Belief Functions with Local Computations. IEEE Expert Prakash P. Shenoy, Glenn Shafer
1986	A	`conf`	Propagation of belief functions: a distributed approach. UAI Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli
1986	C	`conf`	Qualitative Markov networks. IPMU Khaled Mellouli, Glenn Shafer, Prakash P. Shenoy
1982	J	`jnl`	The Banzhaf power index for political games. Math. Soc. Sci. Prakash P. Shenoy