Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Trusted Computing (TC) is an emerging technology towards building trustworthy computing platforms. The Trusted Computing Group (TCG) has proposed several specifications to impleme...
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
The threat of commoditization poses a real challenge for service providers. While the end-to-end principle is often paraphrased as “dumb network, smart end-systems”, the origi...
Indeterminism is typical for concurrent computation. If several concurrent actors compete for the same resource then at most one of them may succeed, whereby the choice of the suc...