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» Designing an Optimal Network Using the Cross-Entropy Method
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132
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ISCC
2008
IEEE
15 years 10 months ago
Scheduling high-rate sessions in Fractional Lambda Switching networks: Algorithm and analysis
This work addresses the high-rate session scheduling problem in Fractional Lambda Switching (FλS) networks. With its global phase synchronization and pipeline forwarding (PF) ope...
Thu-Huong Truong, Mario Baldi, Yoram Ofek
ANSS
2006
IEEE
15 years 9 months ago
Swarm-based Active Tunable Routing for Overhead Reduction in Multiservice Networks
The explosive growth of multimedia and other bandwidth intensive applications has resulted a rapid increase in the size of the traffic loads that needs to be supported by modern n...
Constandinos X. Mavromoustakis, Helen D. Karatza
150
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
124
Voted
NSDI
2010
15 years 5 months ago
Hedera: Dynamic Flow Scheduling for Data Center Networks
Today's data centers offer tremendous aggregate bandwidth to clusters of tens of thousands of machines. However, because of limited port densities in even the highest-end swi...
Mohammad Al-Fares, Sivasankar Radhakrishnan, Barat...
149
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TNN
2011
129views more  TNN 2011»
14 years 10 months ago
Minimum Complexity Echo State Network
—Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the “reservoir”) and an adaptable readout form the state space...
Ali Rodan, Peter Tino