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ICML
2003
IEEE
16 years 5 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
VLSID
2005
IEEE
123views VLSI» more  VLSID 2005»
16 years 4 months ago
Variance Reduction in Monte Carlo Capacitance Extraction
In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
Shabbir H. Batterywala, Madhav P. Desai
ICASSP
2009
IEEE
15 years 11 months ago
Predictive power control and multiple-description coding for wireless sensor networks
We study state estimation via wireless sensor networks over fading channels affected by random packet loss. In the configuration examined, the sensors send their measurements to ...
Jan Østergaard, Daniel E. Quevedo, Anders A...
ICC
2009
IEEE
159views Communications» more  ICC 2009»
15 years 11 months ago
An Enhanced Multiple-Feedback Algorithm for RFID MAC Protocols
Abstract— This paper introduces two new tree-based anticollision schemes using multiple feedback symbols for uplink tag random access of emerging radio frequency identification (...
You-Chang Ko, Sumit Roy, Choong-Ho Cho, Hyong-Woo ...
WIA
2007
Springer
15 years 10 months ago
Average Value and Variance of Pattern Statistics in Rational Models
We study the pattern statistics representing the number of occurrences of a given string in a word of length n generated at random by rational stochastic models, defined by means ...
Massimiliano Goldwurm, Roberto Radicioni