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AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
13 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
UAI
2000
13 years 8 months ago
Dynamic Bayesian Multinets
In this work, dynamic Bayesian multinets are introduced where a Markov chain state at time
Jeff Bilmes
FLAIRS
2000
13 years 8 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
INFOCOM
2005
IEEE
14 years 9 days ago
Monotone percolation and the topology control of wireless networks
— This paper addresses the topology control problem for large wireless networks that are modelled by an infinite point process on a two-dimensional plane. Topology control is th...
Anxiao Jiang, Jehoshua Bruck
ICNP
1998
IEEE
13 years 11 months ago
Maximizable Routing Metrics
We develop a theory for deciding, for any routing metric and any network, whether the messages in this network can be routed along paths whose metric values are maximum. In order ...
Mohamed G. Gouda, Marco Schneider