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» Lyapunov Function Based Fuzzy State Estimator
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ATAL
2005
Springer
14 years 2 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
ZEUS
2010
153views Communications» more  ZEUS 2010»
13 years 10 months ago
Estimating costs of a service
When designing a publicly available Web service, a service designer has to take care of costs and revenue caused by this services. In the very beginning possible partners might onl...
Christian Gierds, Jan Sürmeli
MICCAI
2009
Springer
14 years 9 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...
VLSM
2005
Springer
14 years 2 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song