We consider the problem of storing an ordered dictionary data structure over a distributed set of nodes. In contrast to traditional sequential data structures, distributed data st...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
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...
In a distributed system where scalability is an issue, like in a GRID [5], the problem of enforcing mutual exclusion often arises in a soft form: the infrequent failure of the mut...
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...