activity
20122019
most citedA Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions

64 citations · 258 across the 19 of their papers we have counts for

collaborators

19 papers

cs.AI2019★ 31 cited

An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions

Thierry Denoeux, Prakash P. Shenoy

The main goal of this paper is to describe an axiomatic utility theory for Dempster-Shafer belief function lotteries. The axiomatic framework used is analogous to von Neumann-Morge…

cs.AI2013

Propagation of Belief Functions: A Distributed Approach

Prakash P. Shenoy, Glenn Shafer, Khaled Mellouli

In this paper, we describe a scheme for propagating belief functions in certain kinds of trees using only local computations. This scheme generalizes the computational scheme propo…

cs.AI2013★ 11 cited

An Axiomatic Framework for Bayesian and Belief-function Propagation

Prakash P. Shenoy, Glenn Shafer

In this paper, we describe an abstract framework and axioms under which exact local computation of marginals is possible. The primitive objects of the framework are variables and v…

cs.AI2013★ 11 cited

Valuation-Based Systems for Discrete Optimization

Prakash P. Shenoy, Glenn Shafer

This paper describes valuation-based systems for representing and solving discrete optimization problems. In valuation-based systems, we represent information in an optimization pr…

cs.AI2013★ 1 cited

A Fusion Algorithm for Solving Bayesian Decision Problems

Prakash P. Shenoy

This paper proposes a new method for solving Bayesian decision problems. The method consists of representing a Bayesian decision problem as a valuation-based system and applying a…

cs.AI2013

Conditional Independence in Uncertainty Theories

Prakash P. Shenoy

This paper introduces the notions of independence and conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many differen…