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FPL
2009
Springer
156views Hardware» more  FPL 2009»
15 years 8 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
ISQED
2007
IEEE
165views Hardware» more  ISQED 2007»
15 years 10 months ago
On-Line Adjustable Buffering for Runtime Power Reduction
We present a novel technique to exploit the power-performance tradeoff. The technique can be used stand-alone or in conjunction with dynamic voltage scaling, the mainstream techn...
Andrew B. Kahng, Sherief Reda, Puneet Sharma
111
Voted
AUTOMATICA
2000
67views more  AUTOMATICA 2000»
15 years 3 months ago
Stability analysis of learning feed-forward control
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter ...
IJON
2011
90views more  IJON 2011»
14 years 7 months ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
EUROSYS
2008
ACM
16 years 28 days ago
Parallax: virtual disks for virtual machines
Parallax is a distributed storage system that uses virtualization to provide storage facilities specifically for virtual environments. The system employs a novel architecture in ...
Dutch T. Meyer, Gitika Aggarwal, Brendan Cully, Ge...