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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 1 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
IFIP
2005
Springer
15 years 12 months ago
Numerical Approximation of a Control Problem for Advection-Diffusion Processes
Two different approaches are proposed to enhance the efficiency of the numerical resolution of optimal control problems governed by a linear advection– diffusion equation. In ...
Alfio Quarteroni, Gianluigi Rozza, L. Dedè,...
INFOCOM
2003
IEEE
15 years 11 months ago
Distributed Network Monitoring with Bounded Link Utilization in IP Networks
— Designing optimal measurement infrastructure is a key step for network management. In this work we address the problem of optimizing a scalable distributed polling system. The ...
Erran L. Li, Marina Thottan, Bin Yao, Sanjoy Paul
EUROGP
2001
Springer
103views Optimization» more  EUROGP 2001»
15 years 11 months ago
Computational Complexity, Genetic Programming, and Implications
Recent theory work has shown that a Genetic Program (GP) used to produce programs may have output that is bounded above by the GP itself [l]. This paper presents proofs that show t...
Bart Rylander, Terence Soule, James A. Foster
IPPS
1998
IEEE
15 years 10 months ago
Randomized Routing and PRAM Emulation on Parallel Machines
This paper shows the power of randomization in designing e cient parallel algorithms for the problems of routing and PRAM emulation. We show that with randomization techniques opti...
David S. L. Wei