The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
The Internet breaks the limitations of time and space and provides a flexible platform for learning. Learning is a two-way communication and interactivity is a process to enhance ...
Design of programmable processors and embedded applications requires instruction-set simulators for early exploration and validation of candidate architectures. Interpretive simul...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
We present various techniques for improving the time and space efficiency of symbolic model checking for system requirements specified as synchronous finite state machines. We use...
William Chan, Richard J. Anderson, Paul Beame, Dav...