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ICML
2009
IEEE
14 years 8 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng
DCOSS
2006
Springer
13 years 11 months ago
Optimal Placement and Selection of Camera Network Nodes for Target Localization
The paper studies the optimal placement of multiple cameras and the selection of the best subset of cameras for single target localization in the framework of sensor networks. The ...
Ali Ozer Ercan, Danny B. Yang, Abbas El Gamal, Leo...
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 7 months ago
Reconstruction of Multidimensional Signals from Irregular Noisy Samples
We focus on a multidimensional field with uncorrelated spectrum, and study the quality of the reconstructed signal when the field samples are irregularly spaced and affected by in...
Alessandro Nordio, Carla-Fabiana Chiasserini, Eman...
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
TIT
2002
121views more  TIT 2002»
13 years 7 months ago
Asymptotic normality of linear multiuser receiver outputs
This paper proves large-system asymptotic normality of the output of a family of linear multiuser receivers that can be arbitrarily well approximated by polynomial receivers. This ...
Dongning Guo, Sergio Verdú, Lars K. Rasmuss...