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» On Using Monte Carlo Methods for Scheduling
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NIPS
2001
13 years 9 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
PedGenie: meta genetic association testing in mixed family and case-control designs
Background-: PedGenie software, introduced in 2006, includes genetic association testing of cases and controls that may be independent or related (nuclear families or extended ped...
Karen Curtin, Jathine Wong, Kristina Allen-Brady, ...
ICC
2007
IEEE
14 years 1 months ago
A Statistical Bit Error Generator for Emulation of Complex Forward Error Correction Schemes
— Forward Error Correction (FEC) schemes are generally used in wireless communication systems to maintain an acceptable quality of service. Various models have been proposed in l...
Reuben A. Farrugia, Carl James Debono
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 9 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
VISAPP
2010
13 years 5 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari