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» Efficient and Flexible Value Sampling
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75
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ICML
2010
IEEE
14 years 10 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
WICON
2008
14 years 11 months ago
SAMPL: a simple aggregation and message passing layer for sensor networks
In recent years, wireless sensor networking has shown great promise in applications ranging from industrial control, environmental monitoring and inventory tracking. Given the res...
Anthony Rowe, Karthik Lakshmanan, Ragunathan Rajku...
74
Voted
CCE
2004
14 years 9 months ago
A strategy for MINLP synthesis of flexible and operable processes
This paper presents a sequential two-stage strategy for the stochastic synthesis of chemical processes in which flexibility and ability to adjust manipulated variables are taken i...
Zorka Novak Pintaric, Zdravko Kravanja
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Fregene: Simulation of realistic sequence-level data in populations and ascertained samples
Background: FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows...
Marc Chadeau-Hyam, Clive J. Hoggart, Paul F. O'Rei...
RTSS
2002
IEEE
15 years 2 months ago
Improving Quality-of-Control Using Flexible Timing Constraints: Metric and Scheduling Issues
Closed-loop control systems are dynamic systems subject to perturbations. One of the main concerns of the control is to design controllers to correct or limit the deviation that t...
Pau Martí, Josep M. Fuertes, Gerhard Fohler...