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...
The increasing complexity of computer networks and our increasing dependence on them means enforcing reliability requirements is both more challenging and more critical. The expan...
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
In this paper we consider the distributed simulation of queueing networks of FCFS servers with infinite buffers, and irreducible Markovian routing. We first show that for either t...
In this paper, we present several approaches to making the process of configuring network devices easier than is currently the case. Configuring a device requires that a number of ...
Andrzej Bieszczad, Syed Kamran Raza, Bernard Pagur...