Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
In this paper some initialwork towards a new approach to qualitative reasoning under uncertainty is presented. This method is not only applicable to qualitative probabilistic reas...
The author is revising and restructuring an existing simulation course designed primarily for senior computer science majors by: 1) developing an integrated set of laboratory exer...
The class of linear context-free rewriting systems has been introduced as a generalization of a class of grammar formalisms known as mildly context-sensitive. The recognition prob...
This paper presents methods of default reasoning which allow us to draw negative conclusions that are not available in some of the models for inheritance reasoning. Some of these ...