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» A Theory of Non-Deterministic Networks
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ICA
2010
Springer
14 years 9 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
WINE
2010
Springer
159views Economy» more  WINE 2010»
14 years 9 months ago
Local Dynamics in Bargaining Networks via Random-Turn Games
Abstract. We present a new technique for analyzing the rate of convergence of local dynamics in bargaining networks. The technique reduces balancing in a bargaining network to opti...
L. Elisa Celis, Nikhil R. Devanur, Yuval Peres
IJCNN
2000
IEEE
15 years 3 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
IPPS
2007
IEEE
15 years 5 months ago
A Strategyproof Mechanism for Scheduling Divisible Loads in Linear Networks
In this paper we augment DLT (Divisible Load Theory) with incentives such that it is beneficial for processors to report their true processing capacity and compute their assignme...
Thomas E. Carroll, Daniel Grosu
IWANN
2011
Springer
14 years 2 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...