In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
A hybrid Expert System / Neural Network Traffic Advice system has been developed to aid traffic management in the Southern Californian telephone network. The system has been worki...
Rodney M. Goodman, Barry Ambrose, Hayes Latin, San...
In this paper we present an architecture and prototype implementation for discovering key network characteristics, such as hosts, gateways, and topology. The Fremont system uses a...
David C. M. Wood, Sean S. Coleman, Michael F. Schw...
In their paper [1], Tsoi and Tan present what they call a "canonical form", which they claim to be identical to that proposed in Nerrand et al [2]. They also claim that ...
: We argue that technical features which make aspects of computer network visible can have ambivalent effects for the users. On the one hand they support cooperation among the user...