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UAI
2001
15 years 5 months ago
Improved learning of Bayesian networks
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...
Tomás Kocka, Robert Castelo
157
Voted
JIB
2006
220views more  JIB 2006»
15 years 3 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
120
Voted
INFOCOM
2005
IEEE
15 years 9 months ago
MV routing and capacity building in disruption tolerant networks
— Disruption-Tolerant networks (DTNs) differ from other types of networks in that capacity is exclusively created by the movements of participants. This implies that understandin...
Brendan Burns, Oliver Brock, Brian Neil Levine
153
Voted
CIDM
2009
IEEE
15 years 10 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
127
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ATAL
2009
Springer
15 years 1 months ago
Learning to Locate Trading Partners in Agent Networks
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...
John Porter, Kuheli Chakraborty, Sandip Sen