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NETWORKS
2006
15 years 6 months ago
Extreme point characterizations for infinite network flow problems
We study capacitated network flow problems with supplies and demands defined on a countably infinite collection of nodes having finite degree. This class of network flow models in...
H. Edwin Romeijn, Dushyant Sharma, Robert L. Smith
NJC
2006
119views more  NJC 2006»
15 years 6 months ago
A Model-Driven Approach to Variability Management in Product-Line Engineering
Object-oriented frameworks play an essential role in the implementation of product-line architectures (PLAs) for product families. However, recent case studies reveal that deriving...
André L. Santos, Kai Koskimies, Antó...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 6 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
PAAPP
2006
141views more  PAAPP 2006»
15 years 6 months ago
Algorithmic optimizations of a conjugate gradient solver on shared memory architectures
OpenMP is an architecture-independent language for programming in the shared memory model. OpenMP is designed to be simple and in terms of programming abstractions. Unfortunately,...
Henrik Löf, Jarmo Rantakokko
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