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IROS
2009
IEEE
201views Robotics» more  IROS 2009»
14 years 2 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
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
WMTE
2002
IEEE
14 years 18 days ago
To Unlock the Learning Value of Wireless Mobile Devices, Understand Coupling
Handheld computers will become an increasingly compelling choice of technology for K-12 classrooms because they will enable a transition from occasional, supplemental use to frequ...
Jeremy Roschelle, Charles Patton, Roy D. Pea
ESAS
2006
Springer
13 years 11 months ago
Dynamics of Learning Algorithms for the On-Demand Secure Byzantine Routing Protocol
We investigate the performance of of several protocol enhancements to the On-Demand Secure Byzantine Routing (ODSBR) [3] protocol in the presence of various Byzantine Attack models...
Baruch Awerbuch, Robert G. Cole, Reza Curtmola, Da...
TNN
2010
233views Management» more  TNN 2010»
13 years 2 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...