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» Detection of Stochastic Processes
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132
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ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 3 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
141
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ICCAD
2010
IEEE
117views Hardware» more  ICCAD 2010»
15 years 1 months ago
A synthesis flow for digital signal processing with biomolecular reactions
Abstract--We present a methodology for implementing digital signal processing (DSP) operations such as filtering with biomolecular reactions. From a DSP specification, we demonstra...
Hua Jiang, Aleksandra P. Kharam, Marc D. Riedel, K...
146
Voted
CDC
2010
IEEE
100views Control Systems» more  CDC 2010»
14 years 10 months ago
Impulsive systems triggered by superposed renewal processes
We consider impulsive systems with several reset maps triggered by independent renewal processes, i.e., the intervals between jumps associated with a given reset map are identicall...
Duarte Antunes, João Pedro Hespanha, Carlos...
147
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CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 10 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...
126
Voted
DSN
2011
IEEE
14 years 3 months ago
Modeling stream processing applications for dependability evaluation
— This paper describes a modeling framework for evaluating the impact of faults on the output of streaming ions. Our model is based on three abstractions: stream operators, strea...
Gabriela Jacques-Silva, Zbigniew Kalbarczyk, Bugra...