39 citations · 61 across the 7 of their papers we have counts for
7 papers
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
Yang Xiang, Michael P. Beddoes, David L Poole
In this paper, the feasibility of using finite totally ordered probability models under Alelinnas's Theory of Probabilistic Logic [Aleliunas, 1988] is investigated. The general for…
Exploring Localization in Bayesian Networks for Large Expert Systems
Yang Xiang, David L. Poole, Michael P. Beddoes
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain may…
Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks
Yang Xiang
Recent developments show that Multiply Sectioned Bayesian Networks (MSBNs) can be used for diagnosis of natural systems as well as for model-based diagnosis of artificial systems.…
A Method for Implementing a Probabilistic Model as a Relational Database
Michael S. K. M. Wong, C. J. Butz, Yang Xiang
This paper discusses a method for implementing a probabilistic inference system based on an extended relational data model. This model provides a unified approach for a variety of…
Critical Remarks on Single Link Search in Learning Belief Networks
Yang Xiang, Michael S. K. M. Wong, N. Cercone
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which d…
Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels
Jun Hu, Yang Xiang
A pseudo independent (PI) model is a probabilistic domain model (PDM) where proper subsets of a set of collectively dependent variables display marginal independence. PI models can…