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CIMCA
2005
IEEE
14 years 2 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
BC
2006
63views more  BC 2006»
13 years 8 months ago
Dynamic neural field with local inhibition
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...
Nicolas P. Rougier
INFORMATICALT
2010
116views more  INFORMATICALT 2010»
13 years 5 months ago
A Dynamic Network Interdiction Problem
We present a novel dynamic network interdiction model that accounts for interactions between an interdictor deploying resources on arcs in a digraph and an evader traversing the ne...
Brian J. Lunday, Hanif D. Sherali
IPPS
2007
IEEE
14 years 2 months ago
A General Purpose Partially Reconfigurable Processor Simulator (PReProS)
An innovative technique to model and simulate partial and dynamic reconfigurable processors is presented in this paper. The basis for development is a SystemC kernel modified for ...
Alisson Vasconcelos De Brito, Matthias Kühnle...
ASIACRYPT
2001
Springer
14 years 6 days ago
Provably Authenticated Group Diffie-Hellman Key Exchange - The Dynamic Case
Dynamic group Diffie-Hellman protocols for Authenticated Key Exchange (AKE) are designed to work in a scenario in which the group membership is not known in advance but where parti...
Emmanuel Bresson, Olivier Chevassut, David Pointch...