Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Fung, Robert"'
Autor:
Fung, Robert, Chong, Chee Yee
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, researchers have found some problems with its use as a workable uncert
Externí odkaz:
http://arxiv.org/abs/1304.3427
Autor:
Fung, Robert, Chang, Kuo-Chu
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 set of simulation trials. This paper describes the evidence weighting me
Externí odkaz:
http://arxiv.org/abs/1304.1504
Autor:
Chang, Kuo-Chu, Fung, Robert
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 to combine similar events or low probability events together in order t
Externí odkaz:
http://arxiv.org/abs/1304.1138
While concept-based methods for information retrieval can provide improved performance over more conventional techniques, they require large amounts of effort to acquire the concepts and their qualitative and quantitative relationships. This paper di
Externí odkaz:
http://arxiv.org/abs/1304.1128
Autor:
Chang, Kuo-Chu, Fung, Robert
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 directed backward search to probabilistic inference, and is incremental with
Externí odkaz:
http://arxiv.org/abs/1303.5712
Autor:
Chang, Kuo-Chu, Fung, Robert
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 the concept of dependency-directed backward search to probabilistic infe
Externí odkaz:
http://arxiv.org/abs/1303.5713
Autor:
Fung, Robert, del Favero, Brendan
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 evidence and works backward (i.e., contrary to the direction of the arcs).
Externí odkaz:
http://arxiv.org/abs/1302.6807
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wylie, KevanRichard1,2 (AUTHOR) kevan.wylie@nhs.net, Fung, Robert3 (AUTHOR), Boshier, Claudia4 (AUTHOR), Rotchell, Margaret3 (AUTHOR)
Publikováno v:
Sexual & Relationship Therapy. May2009, Vol. 24 Issue 2, p175-187. 13p. 4 Charts.
Autor:
Fung, Robert1 fung@prevision.com, Del Favero, Brendan bdf@leland.stanford.edu
Publikováno v:
Communications of the ACM. Mar1995, Vol. 38 Issue 3, p42-57. 8p.