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» Load estimation and control using learned dynamics models
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TMI
2008
138views more  TMI 2008»
13 years 7 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
JMLR
2010
148views more  JMLR 2010»
13 years 2 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
BMCBI
2006
117views more  BMCBI 2006»
13 years 7 months ago
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineti
Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
COMCOM
2010
167views more  COMCOM 2010»
13 years 5 months ago
Effective load for flow-level performance modelling of file transfers in wireless LANs
Today, a wide range of 802.11-based Wireless LANs (WLANs) have become dominant to provide wireless Internet access for file transfers. For engineering purposes, there is a need fo...
Geert Jan Hoekstra, Robert D. van der Mei
HICSS
2000
IEEE
102views Biometrics» more  HICSS 2000»
14 years 3 days ago
Strategic Behavior in Spot Markets for Electricity when Load is Stochastic
In the first part of the paper, daily price data for the past three summer seasons in the PJM wholesale market are used to estimate a stochastic regime switching model. These data...
Timothy Mount