This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
This paper introduces an approach to develop componentbased adaptive distributed applications. Our approach separates the communication and the functional aspects of a distributed...
An Phung-Khac, Antoine Beugnard, Jean-Marie Gillio...
Load balancing is often used to ensure that nodes in a distributed systems are equally loaded. In this paper, we show that for real-time systems, load balancing is not desirable. ...
Middleware technologies often limit the way in which object classes may be used in distributed applications due to the fixed distribution policies that they impose. These policies...
Scott M. Walker, Alan Dearle, Stuart J. Norcross, ...
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...