35 search results - page 2 / 7 » Regularization Learning and Early Stopping in Linear Network... |
NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
13 years 5 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
ESANN
2008
13 years 6 months ago
2008
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...
TNN
1998
13 years 5 months ago
1998
—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...
TNN
2008
13 years 5 months ago
2008
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The ...
NIPS
2007
13 years 6 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...