37 citations · 42 across the 6 of their papers we have counts for
6 papers
Metaprobability and Dempster-Shafer in Evidential Reasoning
Robert Fung, Chee Yee Chong
Evidential reasoning in expert systems has often used ad-hoc uncertainty calculi. Although it is generally accepted that probability theory provides a firm theoretical foundation,…
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…
Backward Simulation in Bayesian Networks
Robert Fung, Brendan del Favero
Backward simulation is an approximate inference technique for Bayesian belief networks. It differs from existing simulation methods in that it starts simulation from the known evid…