Abstract: We are developing a new mashup framework for creating flexible applications in which users can selectively browse through mashup items. The framework provides GUI compone...
Abstract: In diesem Kurzbeitrag zeigen wir, wie textuelle Anwendungsfallbeschreibungen werkzeuggest¨utzt in UML-Aktivit¨atsdiagramme ¨uberf¨uhrt werden k¨onnen. Mit Hilfe eine...
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
We analyze several distributed, continuous time protocols for a fair allocation of bandwidths to flows in a network (or resources to agents). Our protocols converge to an allocati...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...