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ECML
2005
Springer
14 years 3 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
ISQED
2003
IEEE
109views Hardware» more  ISQED 2003»
14 years 3 months ago
Modeling and Analysis of Power Distribution Networks for Gigabit Applications
—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...

Publication
336views
14 years 3 months ago
A Discriminative approach for Wavelet Shrinkage Denoising
This paper suggests a discriminative approach for wavelet denoising where a set of mapping functions (MF) are applied to the transform coefficients in an attempt to produce a noi...
Yacov Hel-Or and Doron Shaked
SIGGRAPH
1991
ACM
14 years 1 months ago
Spectrally optimal sampling for distribution ray tracing
Nonuniform sampling of images is a useful technique in computer graphics, because a properly designed pattern of samples can make aliasing take the form of high-frequency random n...
Don P. Mitchell
TSP
2011
151views more  TSP 2011»
13 years 5 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti