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TNN
2008
138views more  TNN 2008»
13 years 7 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
ISQED
2006
IEEE
108views Hardware» more  ISQED 2006»
14 years 1 months ago
SMM: Scalable Analysis of Power Delivery Networks by Stochastic Moment Matching
This paper proposes a novel method for analyzing large onchip power delivery networks via a stochastic moment matching (SMM) method. The proposed method extends the existing direc...
Andrew B. Kahng, Bao Liu, Sheldon X.-D. Tan
ICRA
2010
IEEE
150views Robotics» more  ICRA 2010»
13 years 5 months ago
Fluidic manipulation for scalable stochastic 3D assembly of modular robots
—One of the grand challenges of self-reconfiguring modular robotics is the assembly of a functional system from thousands of components. However, to date, only systems comprised ...
Michael Thomas Tolley, Hod Lipson
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
FPL
2006
Springer
105views Hardware» more  FPL 2006»
13 years 11 months ago
A Scalable Network ASIP Enabling Flow Awareness in Ethernet Access
In this paper we research an FPGA based Application Specific Instruction Set Processor (ASIP) tailored to the needs of a flow aware Ethernet access node. The processor has an arch...
K. Van Renterghem, Dieter Verhulst, S. Verschuere,...