We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
Varun Kanade, Leslie G. Valiant, Jennifer Wortman ...
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
Supporting awareness of others is an idea that holds promise for improving the usability of real-time distributed groupware. However, there is little principled information availa...
In a typical client-server scenario, a trusted server provides valuable services to a client, which runs remotely on an untrusted platform. Of the many security vulnerabilities th...
Mariano Ceccato, Paolo Tonella, Mila Dalla Preda, ...
Depending on the physical structuring of large distributed safety-critical real-time systems, one can distinguish federated and integrated system architectures. This paper investi...