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NN
2002
Springer
224views Neural Networks» more  NN 2002»
13 years 4 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
IJCNN
2000
IEEE
13 years 9 months ago
Regularization Learning and Early Stopping in Linear Networks
Katsuyuki Hagiwara, Kazuhiro Kuno
ESANN
2008
13 years 6 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
TNN
1998
100views more  TNN 1998»
13 years 4 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada