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112
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CCGRID
2001
IEEE
15 years 4 months ago
A DSM Cluster Architecture Supporting Aggressive Computation in Active Networks
Active networks allow computations to be performed innetwork at routers as messages pass through them. Active networks offer unique opportunities to optimize networkcentric applic...
Peter C. J. Graham
93
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APPINF
2003
15 years 2 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
91
Voted
NIPS
2008
15 years 2 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
86
Voted
PODS
2004
ACM
75views Database» more  PODS 2004»
16 years 25 days ago
Power-Conserving Computation of Order-Statistics over Sensor Networks
Michael Greenwald, Sanjeev Khanna
SIGITE
2005
ACM
15 years 6 months ago
Hands-on approach to teaching computer networking using packet traces
This paper describes a novel approach to teaching computer networking through packet traces of actual network traffic. The paper describes a set of exercises that use packet trace...
Jeanna Neefe Matthews