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ISCC
2008
IEEE
110views Communications» more  ISCC 2008»
14 years 4 months ago
Model for polling in noisy multihop systems with application to PLC and AMR
The present paper presents a Markov Chain model of polling in noisy multi-hop systems typical of Power Line Communications (PLC) as well as of other systems. The model includes the...
Joseph M. Selga, Agustín Zaballos, Jaume Ab...
COMPUTING
2006
130views more  COMPUTING 2006»
13 years 10 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
CVPR
2004
IEEE
14 years 12 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
APIN
2004
107views more  APIN 2004»
13 years 9 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
ICML
2007
IEEE
14 years 10 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch