To ensure that Expert System (ES) performance remains above the level of acceptance throughout the entire life cycle of the system, its knowledge base must periodically be updated...
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
Modern applications distributed across networks such as the Internet may need to evolve without compromising application availability. Object systems are well suited for runtime up...
We present a game-theoretic treatment of distributed power control in CDMA wireless systems. We make use of the conceptual framework of noncooperative game theory to obtain a distr...
Tansu Alpcan, Tamer Basar, R. Srikant, Eitan Altma...