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2010 – today
- 2018
[j48]Radim Jirousek, Prakash P. Shenoy:
A new definition of entropy of belief functions in the Dempster-Shafer theory. Int. J. Approx. Reasoning 92: 49-65 (2018)- 2017
- [j47]Sumanta Singha, Steve Hillmer, Prakash P. Shenoy:
On computing probabilities of dismissal of 10b-5 securities class-action cases. Decision Support Systems 94: 29-41 (2017) - [j46]Barry R. Cobb, Prakash P. Shenoy:
Inference in Hybrid Bayesian Networks with Nonlinear Deterministic Conditionals. Int. J. Intell. Syst. 32(12): 1217-1246 (2017) - [c38]Radim Jirousek, Prakash P. Shenoy:
Ambiguity aversion and a decision-theoretic framework using belief functions. SSCI 2017: 1-7 - 2016
- [j45]Esma Nur Cinicioglu, Prakash P. Shenoy:
A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores. Annals OR 244(2): 385-405 (2016) - [j44]Radim Jirousek, Prakash P. Shenoy:
Causal compositional models in valuation-based systems with examples in specific theories. Int. J. Approx. Reasoning 72: 95-112 (2016) - [c37]Radim Jirousek, Prakash P. Shenoy:
Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective. BELIEF 2016: 3-13 - [c36]Yi Tan, Prakash P. Shenoy, Moses W. Chan, Paul M. Romberg:
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification. Probabilistic Graphical Models 2016: 523-534 - 2015
- [j43]Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón:
Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. Int. J. Intell. Syst. 30(3): 265-291 (2015) - 2014
- [j42]Radim Jirousek, Prakash P. Shenoy:
Compositional models in valuation-based systems. Int. J. Approx. Reasoning 55(1): 277-293 (2014) - [c35]Radim Jirousek, Prakash P. Shenoy:
Causal Compositional Models in Valuation-Based Systems. Belief Functions 2014: 256-264 - 2013
- [i21]Phan Hong Giang, Prakash P. Shenoy:
Statistical Decisions Using Likelihood Information Without Prior Probabilities. CoRR abs/1301.0569 (2013) - [i20]Phan Hong Giang, Prakash P. Shenoy:
A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory. CoRR abs/1301.2271 (2013) - [i19]Phan Hong Giang, Prakash P. Shenoy:
A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. CoRR abs/1301.3858 (2013) - [i18]Phan Hong Giang, Prakash P. Shenoy:
On Transformations between Probability and Spohnian Disbelief Functions. CoRR abs/1301.6699 (2013) - [i17]Vasilica Lepar, Prakash P. Shenoy:
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions. CoRR abs/1301.7394 (2013) - [i16]
- [i15]Prakash P. Shenoy:
A New Pruning Method for Solving Decision Trees and Game Trees. CoRR abs/1302.4981 (2013) - [i14]
- [i13]
- [i12]Prakash P. Shenoy:
A Fusion Algorithm for Solving Bayesian Decision Problems. CoRR abs/1303.5750 (2013) - [i11]Prakash P. Shenoy, Glenn Shafer:
Valuation-Based Systems for Discrete Optimization. CoRR abs/1304.1121 (2013) - [i10]Prakash P. Shenoy, Glenn Shafer:
An Axiomatic Framework for Bayesian and Belief-function Propagation. CoRR abs/1304.2374 (2013) - [i9]Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy:
Modifiable Combining Functions. CoRR abs/1304.2712 (2013) - [i8]Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli:
Propagation of Belief Functions: A Distributed Approach. CoRR abs/1304.3109 (2013) - [i7]Dan Geiger, Prakash P. Shenoy:
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997). CoRR abs/1304.3846 (2013) - 2012
- [j41]Yijing Li, Prakash P. Shenoy:
A Framework for Solving Hybrid Influence Diagrams Containing Deterministic Conditional Distributions. Decision Analysis 9(1): 55-75 (2012) - [j40]Prakash P. Shenoy:
Two issues in using mixtures of polynomials for inference in hybrid Bayesian networks. Int. J. Approx. Reasoning 53(5): 847-866 (2012) - [c34]Radim Jirousek, Prakash P. Shenoy:
Compositional Models in Valuation-Based Systems. Belief Functions 2012: 221-228 - [c33]Radim Jirousek, Prakash P. Shenoy:
Conditioning in Decomposable Compositional Models in Valuation-Based Systems. IPMU (4) 2012: 676-685 - [i6]Yijing Li, Prakash P. Shenoy:
Solving Hybrid Influence Diagrams with Deterministic Variables. CoRR abs/1203.3493 (2012) - [i5]Prakash P. Shenoy:
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians. CoRR abs/1206.6877 (2012) - [i4]Barry R. Cobb, Prakash P. Shenoy:
Hybrid Bayesian Networks with Linear Deterministic Variables. CoRR abs/1207.1369 (2012) - [i3]Barry R. Cobb, Prakash P. Shenoy:
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials. CoRR abs/1207.4177 (2012) - [i2]Liping Liu, Catherine Shenoy, Prakash P. Shenoy:
A Linear Belief Function Approach to Portfolio Evaluation. CoRR abs/1212.2473 (2012) - [i1]Phan Hong Giang, Prakash P. Shenoy:
Decision Making with Partially Consonant Belief Functions. CoRR abs/1212.2484 (2012) - 2011
- [j39]Phan Hong Giang, Prakash P. Shenoy:
A decision theory for partially consonant belief functions. Int. J. Approx. Reasoning 52(3): 375-394 (2011) - [j38]Prakash P. Shenoy, James C. West:
Inference in hybrid Bayesian networks using mixtures of polynomials. Int. J. Approx. Reasoning 52(5): 641-657 (2011) - [j37]Prakash P. Shenoy, James C. West:
Extended Shenoy-Shafer architecture for inference in hybrid bayesian networks with deterministic conditionals. Int. J. Approx. Reasoning 52(6): 805-818 (2011) - [c32]Prakash P. Shenoy:
A Re-definition of Mixtures of Polynomials for Inference in Hybrid Bayesian Networks. ECSQARU 2011: 98-109 - [c31]Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón:
Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. ISDA 2011: 605-610 - 2010
- [j36]Concha Bielza, Manuel Gómez, Prakash P. Shenoy:
Modeling challenges with influence diagrams: Constructing probability and utility models. Decision Support Systems 49(4): 354-364 (2010) - [c30]
2000 – 2009
- 2009
- [j35]Esma Nur Cinicioglu, Prakash P. Shenoy:
Arc reversals in hybrid Bayesian networks with deterministic variables. Int. J. Approx. Reasoning 50(5): 763-777 (2009) - [c29]Prakash P. Shenoy, James C. West:
Inference in Hybrid Bayesian Networks with Deterministic Variables. ECSQARU 2009: 46-58 - 2008
- [j34]Barry R. Cobb, Prakash P. Shenoy:
Decision making with hybrid influence diagrams using mixtures of truncated exponentials. European Journal of Operational Research 186(1): 261-275 (2008) - [p1]Prakash P. Shenoy, Glenn Shafer:
Axioms for Probability and Belief-Function Propagation. Classic Works of the Dempster-Shafer Theory of Belief Functions 2008: 499-528 - 2007
- [j33]Lili Sun, Prakash P. Shenoy:
Using Bayesian networks for bankruptcy prediction: Some methodological issues. European Journal of Operational Research 180(2): 738-753 (2007) - [c28]Esma Nur Cinicioglu, Prakash P. Shenoy, Canan Kocabasoglu:
Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks. ECSQARU 2007: 889-900 - 2006
- [j32]Riza Demirer, Prakash P. Shenoy:
Sequential valuation networks for asymmetric decision problems. European Journal of Operational Research 169(1): 286-309 (2006) - [j31]Barry R. Cobb, Prakash P. Shenoy:
Inference in hybrid Bayesian networks with mixtures of truncated exponentials. Int. J. Approx. Reasoning 41(3): 257-286 (2006) - [j30]Barry R. Cobb, Prakash P. Shenoy:
On the plausibility transformation method for translating belief function models to probability models. Int. J. Approx. Reasoning 41(3): 314-330 (2006) - [j29]Barry R. Cobb, Prakash P. Shenoy:
Operations for inference in continuous Bayesian networks with linear deterministic variables. Int. J. Approx. Reasoning 42(1-2): 21-36 (2006) - [j28]Finn Verner Jensen, Thomas D. Nielsen, Prakash P. Shenoy:
Sequential influence diagrams: A unified asymmetry framework. Int. J. Approx. Reasoning 42(1-2): 101-118 (2006) - [j27]Barry R. Cobb, Prakash P. Shenoy, Rafael Rumí:
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Statistics and Computing 16(3): 293-308 (2006) - [j26]Liping Liu, Catherine Shenoy, Prakash P. Shenoy:
Knowledge representation and integration for portfolio evaluation using linear belief functions. IEEE Trans. Systems, Man, and Cybernetics, Part A 36(4): 774-785 (2006) - [c27]
- 2005
- [j25]Phan Hong Giang, Prakash P. Shenoy:
Decision making on the sole basis of statistical likelihood. Artif. Intell. 165(2): 137-163 (2005) - [j24]Phan Hong Giang, Prakash P. Shenoy:
Two axiomatic approaches to decision making using possibility theory. European Journal of Operational Research 162(2): 450-467 (2005) - [c26]Barry R. Cobb, Prakash P. Shenoy:
Nonlinear Deterministic Relationships in Bayesian Networks. ECSQARU 2005: 27-38 - [c25]
- [c24]Barry R. Cobb, Prakash P. Shenoy:
Hybrid Bayesian Networks with Linear Deterministic Variables. UAI 2005: 136-144 - 2004
- [j23]Liping Liu, Prakash P. Shenoy:
Representing asymmetric decision problems using coarse valuations. Decision Support Systems 37(1): 119-135 (2004) - [j22]Sucheta Nadkarni, Prakash P. Shenoy:
A causal mapping approach to constructing Bayesian networks. Decision Support Systems 38(2): 259-281 (2004) - [j21]John M. Charnes, Prakash P. Shenoy:
Multistage Monte Carlo Method for Solving Influence Diagrams Using Local Computation. Management Science 50(3): 405-418 (2004) - [c23]Barry R. Cobb, Prakash P. Shenoy:
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials. UAI 2004: 85-93 - 2003
- [j20]Prakash P. Shenoy, Rajendra P. Srivastava:
Application of Uncertain Reasoning to Business Decisions: An Introduction. Information Systems Frontiers 5(4): 343-344 (2003) - [j19]Barry R. Cobb, Prakash P. Shenoy:
A Comparison of Bayesian and Belief Function Reasoning. Information Systems Frontiers 5(4): 345-358 (2003) - [c22]Barry R. Cobb, Prakash P. Shenoy:
A Comparison of Methods for Transforming Belief Function Models to Probability Models. ECSQARU 2003: 255-266 - [c21]Phan Hong Giang, Prakash P. Shenoy:
Decision Making with Partially Consonant Belief Functions. UAI 2003: 272-280 - [c20]Liping Liu, Catherine Shenoy, Prakash P. Shenoy:
A Linear Belief Function Approach to Portfolio Evaluation. UAI 2003: 370-377 - 2002
- [c19]Phan Hong Giang, Prakash P. Shenoy:
Statistical Decisions Using Likelihood Information Without Prior Probabilities. UAI 2002: 170-178 - 2001
- [j18]Sucheta Nadkarni, Prakash P. Shenoy:
A Bayesian network approach to making inferences in causal maps. European Journal of Operational Research 128(3): 479-498 (2001) - [c18]Riza Demirer, Prakash P. Shenoy:
Sequential Valuation Networks: A New Graphical Technique for Asymmetric Decision Problems. ECSQARU 2001: 252-265 - [c17]Phan Hong Giang, Prakash P. Shenoy:
A Comparison of Axiomatic Approaches to Qualitative Decision Making Using Possibility Theory. UAI 2001: 162-170 - 2000
- [j17]Prakash P. Shenoy:
Valuation network representation and solution of asymmetric decision problems. European Journal of Operational Research 121(3): 579-608 (2000) - [c16]Phan Hong Giang, Prakash P. Shenoy:
A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs. UAI 2000: 220-229
1990 – 1999
- 1999
- [c15]Phan Hong Giang, Prakash P. Shenoy:
On Transformations between Probability and Spolinian Disbelief Functions. UAI 1999: 236-244 - 1998
- [j16]Tuija Schmidt, Prakash P. Shenoy:
Some Improvements to the Shenoy-Shafer and Hugin Architectures for Computing Marginals. Artif. Intell. 102(2): 323-333 (1998) - [c14]Vasilica Lepar, Prakash P. Shenoy:
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions. UAI 1998: 328-337 - 1997
- [j15]Prakash P. Shenoy:
Binary join trees for computing marginals in the Shenoy-Shafer architecture. Int. J. Approx. Reasoning 17(2-3): 239-263 (1997) - [e1]Dan Geiger, Prakash P. Shenoy:
UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Brown University, Providence, Rhode Island, USA, August 1-3, 1997. Morgan Kaufmann 1997, ISBN 1-55860-485-5 [contents] - 1996
- [c13]
- 1995
- [j14]Rajendra P. Srivastava, Prakash P. Shenoy, Glenn R. Shafer:
Propagating belief functions in AND-trees. Int. J. Intell. Syst. 10(7): 647-664 (1995) - [c12]Prakash P. Shenoy:
Representing and Solving Asymmetric Decision Problems Using Valuation Networks. AISTATS 1995: 99-108 - [c11]Prakash P. Shenoy:
A New Pruning Method for Solving Decision Trees and Game Trees. UAI 1995: 482-490 - 1994
- [j13]Prakash P. Shenoy:
Discussion of Kyburg's "Believing on the Basis of Evidence". Computational Intelligence 10: 92-93 (1994) - [j12]Prakash P. Shenoy:
Conditional independence in valuation-based systems. Int. J. Approx. Reasoning 10(3): 203-234 (1994) - [j11]Prakash P. Shenoy:
Representing Conditional Independence Relations by Valuation Networks. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2(2): 143-166 (1994) - [j10]Prakash P. Shenoy:
Consistency in Valuation-Based Systems. INFORMS Journal on Computing 6(3): 281-291 (1994) - 1993
- [c10]
- [c9]
- 1992
- [j9]Prakash P. Shenoy:
Valuation-Based Systems for Bayesian Decision Analysis. Operations Research 40(3): 463-484 (1992) - [c8]
- 1991
- [j8]Prakash P. Shenoy:
On Spohn's rule for revision of beliefs. Int. J. Approx. Reasoning 5(2): 149-181 (1991) - [c7]
- 1990
- [j7]Glenn Shafer, Prakash P. Shenoy:
Probability propagation. Ann. Math. Artif. Intell. 2: 327-351 (1990) - [j6]Prakash P. Shenoy, Gautam Biswas:
Belief functions and belief maintenance in artificial intelligence. Int. J. Approx. Reasoning 4(5-6): 319-322 (1990) - [c6]
- [c5]
1980 – 1989
- 1989
- [j5]Prakash P. Shenoy:
A valuation-based language for expert systems. Int. J. Approx. Reasoning 3(5): 383-411 (1989) - 1988
- [c4]Prakash P. Shenoy, Glenn Shafer:
Axioms for probability and belief-function proagation. UAI 1988: 169-198 - 1987
- [j4]Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy:
Modifiable combining functions. AI EDAM 1(1): 47-57 (1987) - [j3]Glenn Shafer, Prakash P. Shenoy, Khaled Mellouli:
Propagating belief functions in qualitative Markov trees. Int. J. Approx. Reasoning 1(4): 349-400 (1987) - [c3]
- 1986
- [j2]Prakash P. Shenoy, Glenn Shafer:
Propagating Belief Functions with Local Computations. IEEE Expert 1(3): 43-52 (1986) - [c2]
- [c1]Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli:
Propagation of belief functions: a distributed approach. UAI 1986: 325-336 - 1982
- [j1]Prakash P. Shenoy:
The Banzhaf power index for political games. Mathematical Social Sciences 2(3): 299-315 (1982)
Coauthor Index
Glenn Shafer
aka: Glenn R. Shafer
aka: Glenn R. Shafer
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last updated on 2018-03-07 10:25 CET by the dblp team