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95
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NECO
2010
103views more  NECO 2010»
14 years 11 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
113
Voted
ANCS
2010
ACM
14 years 10 months ago
sNICh: efficient last hop networking in the data center
: sNICh: Efficient Last Hop Networking in the Data Center Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox, Scott Rixner, Partha Ranganathan, Jose Renato Santos HP Laboratories H...
Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox,...
JCSC
2002
129views more  JCSC 2002»
15 years 3 days ago
Leakage Current Reduction in VLSI Systems
There is a growing need to analyze and optimize the stand-by component of power in digital circuits designed for portable and battery-powered applications. Since these circuits re...
David Blaauw, Steven M. Martin, Trevor N. Mudge, K...
106
Voted
MICRO
2002
IEEE
117views Hardware» more  MICRO 2002»
15 years 3 days ago
Generating physical addresses directly for saving instruction TLB energy
Power consumption and power density for the Translation Lookaside Buffer (TLB) are important considerations not only in its design, but can have a consequence on cache design as w...
Ismail Kadayif, Anand Sivasubramaniam, Mahmut T. K...
145
Voted
PAMI
2002
122views more  PAMI 2002»
15 years 3 days ago
Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. Si...
Ravi Ramamoorthi