We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Multimedia scheduling models provide a rich variety of tools for managing the synchronization of media like video and audio, but generally have an inflexible model for time itself...
Buffer overflow (BOF) is one of the major vulnerabilities that leads to non-secure software. Testing an implementation for BOF vulnerabilities is challenging as the underlying rea...
This paper introduces a Standard ML realization of the scrap-yourboilerplate generic-programming mechanism (first introduced by Simon Peyton Jones and Ralf Lämmel), which gives ...
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...