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NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 4 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
TNN
1998
85views more  TNN 1998»
15 years 4 months ago
Fast numerical integration of relaxation oscillator networks based on singular limit solutions
—Relaxation oscillations exhibiting more than one time scale arise naturally from many physical systems. When relaxation oscillators are coupled in a way that resembles chemical ...
P. S. Linsay, DeLiang L. Wang
JSW
2010
83views more  JSW 2010»
15 years 3 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
GLOBECOM
2010
IEEE
15 years 3 months ago
The Information Propagation Speed Upper Bound in Cognitive Radio Networks
Abstract--The information propagation speed (IPS) of a network specifies how fast the information can be transmitted in a network. In this paper, we derive an IPS upper bound in co...
Chuan Han, Yaling Yang