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CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 5 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
OSDI
2008
ACM
16 years 7 months ago
R2: An Application-Level Kernel for Record and Replay
Library-based record and replay tools aim to reproduce an application's execution by recording the results of selected functions in a log and during replay returning the resu...
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhil...
SIAMSC
2010
141views more  SIAMSC 2010»
15 years 5 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
STOC
2006
ACM
108views Algorithms» more  STOC 2006»
16 years 7 months ago
Gowers uniformity, influence of variables, and PCPs
Gowers [Gow98, Gow01] introduced, for d 1, the notion of dimension-d uniformity Ud (f) of a function f : G C, where G is a finite abelian group. Roughly speaking, if a function ...
Alex Samorodnitsky, Luca Trevisan
CVPR
2003
IEEE
16 years 8 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...