In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Virtual environments have shown great promise as a research tool in science and engineering. In this paper we study a classical problem in mathematics: that of approximating globa...
Robert van Liere, Jurriaan D. Mulder, Jason Frank,...
Models of Memory Management Greg Morrisett Matthias Felleisen Robert Harper January 1995 CMU{CS{95{110 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Al...
J. Gregory Morrisett, Matthias Felleisen, Robert H...
This paper considers compositions of conditional term rewriting systems as a basis for a modular approach to the design and analysis of equational logic programs. In this context,...