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ATAL
2005
Springer
14 years 3 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
BMCBI
2005
250views more  BMCBI 2005»
13 years 9 months ago
FiatFlux - a software for metabolic flux analysis from 13C-glucose experiments
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Nicola Zamboni, Eliane Fischer, Uwe Sauer
BMCBI
2004
176views more  BMCBI 2004»
13 years 9 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
GLOBECOM
2009
IEEE
14 years 4 months ago
Real-World VANET Security Protocol Performance
—Many results have been published in the literature based on performance measurements obtained from simulations of Vehicular Networks (VANETs). These simulations use as input tra...
Jason J. Haas, Yih-Chun Hu, Kenneth P. Laberteaux
ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
14 years 4 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville