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» On Conditions for Linearity of Optimal Estimation
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CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 6 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
CORR
2011
Springer
143views Education» more  CORR 2011»
12 years 11 months ago
Non-malleable extractors via character sums
In studying how to communicate over a public channel with an active adversary, Dodis and Wichs introduced the notion of a non-malleable extractor. A non-malleable extractor dramat...
Trevor D. Wooley, David Zuckerman
ICC
2008
IEEE
116views Communications» more  ICC 2008»
14 years 1 months ago
Intelligent Weather Aware Scheme for Satellite Systems
— Rain, snow, gaseous, cloud, fog, scintillation and other atmospheric properties can have a distorting effect on signal fidelity of Ku and Ka bands, thus resulting in excessive ...
Kamal Harb, Changcheng Huang, Anand Srinivasan, Br...
AIME
2009
Springer
14 years 1 days ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
BMCBI
2010
92views more  BMCBI 2010»
13 years 7 months ago
YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast
Background: The budding yeast Saccharomyces cerevisiae is one of the most widely studied model organisms in aging-related science. Although several genetic modifiers of yeast long...
Brady Olsen, Christopher J. Murakami, Matt Kaeberl...