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TNN
2008
138views more  TNN 2008»
15 years 4 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
USENIX
2008
15 years 6 months ago
Improving Scalability and Fault Tolerance in an Application Management Infrastructure
This paper explores the challenges associated with distributed application management in large-scale computing environments. In particular, we investigate several techniques for e...
Nikolay Topilski, Jeannie R. Albrecht, Amin Vahdat
140
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IJCNN
2007
IEEE
15 years 10 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
CCGRID
2003
IEEE
15 years 9 months ago
Recovering Internet Symmetry in Distributed Computing
This paper describes two systems to recover the Internet connectivity impaired by private networks and firewalls. These devices cause asymmetry in the Internet, making peer-to-pee...
Se-Chang Son, Miron Livny
CLUSTER
2004
IEEE
15 years 8 months ago
Scalable, high-performance NIC-based all-to-all broadcast over Myrinet/GM
All-to-all broadcast is one of the common collective operations that involve dense communication between all processes in a parallel program. Previously, programmable Network Inte...
Weikuan Yu, Dhabaleswar K. Panda, Darius Buntinas