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» Robust Adaptive Control Using Neural Networks and Projection
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 6 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Bandwidth Estimation and Robust Video Streaming Over 802.11E Wireless Lans
Streaming high quality audio/video (AV) from home media sources to TV sets over a wireless local area network (WLAN) is a challenging problem because of the fluctuating bandwidth...
Mehmet Umut Demircin, Peter van Beek
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 2 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
124
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ICANN
2010
Springer
15 years 1 months ago
Autonomous Generation of Internal Representations for Associative Learning
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Michaël Garcia Ortiz, Benjamin Dittes, Jannik...