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CIKM
1997
Springer
15 years 10 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
RECOMB
2000
Springer
15 years 9 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
CCE
2008
15 years 6 months ago
Chemical supply chain network optimization
Chemical supply chain networks provide large opportunities for cost reductions through the redesign of the flow of material from producer to customer. In this paper we present a m...
Jeff Ferrio, John Wassick
QUESTA
2008
96views more  QUESTA 2008»
15 years 5 months ago
Reduction of a polling network to a single node
We consider a discrete-time tree network of polling servers where all packets are routed to the same node (called node 0), from which they leave the network. All packets have unit...
Paul Beekhuizen, Dee Denteneer, Jacques Resing
TWC
2010
15 years 28 days ago
Cellular Systems with Non-Regenerative Relaying and Cooperative Base Stations
In this paper, the performance of cellular networks with joint multicell processing and dedicated relay terminals is investigated. It is assumed that each relay terminal is capable...
Oren Somekh, Osvaldo Simeone, Harold Vincent Poor,...