37 citations · 41 across the 4 of their papers we have counts for
4 papers
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
Robert Fung, Kuo-Chu Chang
Stochastic simulation approaches perform probabilistic inference in Bayesian networks by estimating the probability of an event based on the frequency that the event occurs in a se…
Refinement and Coarsening of Bayesian Networks
Kuo-Chu Chang, Robert Fung
In almost all situation assessment problems, it is useful to dynamically contract and expand the states under consideration as assessment proceeds. Contraction is most often used t…
Symbolic Probabilistic Inference with Evidence Potential
Kuo-Chu Chang, Robert Fung
Recent research on the Symbolic Probabilistic Inference (SPI) algorithm[2] has focused attention on the importance of resolving general queries in Bayesian networks. SPI applies th…
Symbolic Probabilistic Inference with Continuous Variables
Kuo-Chu Chang, Robert Fung
Research on Symbolic Probabilistic Inference (SPI) [2, 3] has provided an algorithm for resolving general queries in Bayesian networks. SPI applies the concept of dependency direct…