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- W617464257 abstract "This research develops and extends the concept of machine inductive learning by introducing exceptions into the learning set and developing techniques to respond to those exceptions. This research also provides a method to generalize concepts with exceptions.The idea of two different kinds of exceptions is presented. A set of new generalization rules is developed to solve the exceptions in the domain of concepts, and a threshold condition is introduced to aid the solution of exceptions in the domain of events instead of the normal use of consistency condition.A learning system, Generalization Of Concept (GOC), is constructed to demonstrate inductive learning with exceptions. Two example applications are solved by the GOC system illustrating this new approach. Another example presents the idea that generalization of concept can be applied to simplify decision rules." @default.
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- W617464257 date "1988-01-01" @default.
- W617464257 modified "2023-09-27" @default.
- W617464257 title "Inductive learning with exceptions--a more general case in machine inductive learning" @default.
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