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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 1 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
IJON
2006
76views more  IJON 2006»
13 years 8 months ago
Evolving networks of integrate-and-fire neurons
This paper addresses the following question: ``What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?'' The ...
Francisco J. Veredas, Francisco J. Vico, Jos&eacut...
CCS
2008
ACM
13 years 10 months ago
SNAPP: stateless network-authenticated path pinning
This paper examines a new building block for next-generation networks: SNAPP, or Stateless Network-Authenticated Path Pinning. SNAPP-enabled routers securely embed their routing d...
Bryan Parno, Adrian Perrig, Dave Andersen
MOBICOM
2009
ACM
14 years 2 months ago
Optimal beam scheduling for multicasting in wireless networks
We consider the problem of efficient link-layer multicasting in wireless networks with switched beamforming antennas. The inherent tradeoff between multicasting and beamforming ...
Karthikeyan Sundaresan, Kishore Ramachandran, Samp...
IHI
2012
370views Healthcare» more  IHI 2012»
12 years 3 months ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...