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UAI
1993
13 years 11 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
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 ...
Wai Lam, Fahiem Bacchus
IM
1993
13 years 11 months ago
A Hybrid Expert System/Neural Network Traffic Advice System
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...
USENIX
1993
13 years 11 months ago
Fremont: A System for Discovering Network Characteristics and Problems
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...
IJON
1998
119views more  IJON 1998»
13 years 9 months ago
Comment on "Recurrent neural networks: A constructive algorithm, and its properties"
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 ...
Léon Personnaz, Gérard Dreyfus
NETWORKING
1993
13 years 11 months ago
The Ambivalence of Network Visibility in an Organizational Context
: 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...
Volker Wulf, Anja Hartmann