Keung-Chi Ng

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A criticism of diagnostic systems, which are based on the formal foundations of probability and utility, is that their reasoning strategies and recommendations are inflexible and unnatural. We have developed a facility that increases the flexibility of normative reasoning systems by providing multiple human-oriented perspectives on diagnostic problem(More)
Although traffic between Web servers and Web browsers is readily apparent to many knowledgeable end users, fewer are aware of the extent of server-to-server Web traffic carried over the public Internet. We refer to the former class of traffic as front-office Internet Web traffic and the latter as back-office Internet Web traffic (or just front-office and(More)
Certain class es of problems, including per­ ceptual data understanding, robotics, discov­ ery, and learning, can be represented as incre­ mental, dynamically constructed belief net­ works. These automatically constructed net­ works can be dynamically extended and mod­ ified as evidence of new individuals becomes available. The main result of this paper is(More)
Most existing expert systems contain a single rule base. Any extension of this model to group decision-making must account for the possibility of conflicting rules encoded by different group members. The inability to reconcile conflicts, however, is one of the most clearly established shortcomings of rule-based knowledge representations [4] [11]. Thus,(More)
Knowledge elicitation is one of the major bottlenecks in expert system design. Systems based on Bayes nets require two types of information--network structure and parameters (or probabilities). Both must be elicited from the domain expert. In general, parameters have greater opacity than structure, and more time is spent in their refinement than in any(More)