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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
DAIS
2011
13 years 1 months ago
Modeling the Performance of Ring Based DHTs in the Presence of Network Address Translators
Abstract. Dealing with Network Address Translators (NATs) is a central problem in many peer-to-peer applications on the Internet today. However, most analytical models of overlay n...
John Ardelius, Boris Mejías
HPCN
2000
Springer
14 years 2 months ago
An Analytical Model for a Class of Architectures under Master-Slave Paradigm
We build an analytical model for an application utilizing master-slave paradigm. In the model, only three architecture parameters are used: latency, bandwidth and flop rate. Instea...
Yasemin Yalçinkaya, Trond Steihaug
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 11 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
CORR
2011
Springer
217views Education» more  CORR 2011»
13 years 2 months ago
Coarse-Grained Topology Estimation via Graph Sampling
Many online networks are measured and studied via sampling techniques, which typically collect a relatively small fraction of nodes and their associated edges. Past work in this a...
Maciej Kurant, Minas Gjoka, Yan Wang, Zack W. Almq...