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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
ICPPW
2002
IEEE
15 years 9 months ago
A Study of Dynamic Routing and Wavelength Assignment with Imprecise Network State Information
In large networks, maintaining precise global network state information is almost impossible. Many factors, such as non-negligible propagation delay, infrequent state updates due ...
Jun Zhou, Xin Yuan
PDPTA
2003
15 years 6 months ago
Distop: A Low-Overhead Cluster Monitoring System
Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-base...
Daniel Andresen, Nathan Schopf, Ethan Bowker, Timo...
JCC
2008
105views more  JCC 2008»
15 years 4 months ago
Retrieval of spectral and dynamic properties from two-dimensional infrared pump-probe experiments
Abstract: We have developed a fitting algorithm able to extract spectral and dynamic properties of a three level oscillator from a two-dimensional infrared spectrum (2D-IR) detecte...
Riccardo Chelli, Victor V. Volkov, Roberto Righini
SPAA
2012
ACM
13 years 7 months ago
Allowing each node to communicate only once in a distributed system: shared whiteboard models
In this paper we study distributed algorithms on massive graphs where links represent a particular relationship between nodes (for instance, nodes may represent phone numbers and ...
Florent Becker, Adrian Kosowski, Nicolas Nisse, Iv...
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