Sciweavers

35 search results - page 1 / 7
» Regularization Learning and Early Stopping in Linear Network...
Sort
View
IJCNN
2000
IEEE
13 years 9 months ago
Regularization Learning and Early Stopping in Linear Networks
Katsuyuki Hagiwara, Kazuhiro Kuno
PRL
2006
127views more  PRL 2006»
13 years 4 months ago
Ho-Kashyap classifier with early stopping for regularization
This paper focuses on linear classification using a fast and simple algorithm known as the Ho
Fabien Lauer, Gérard Bloch
NIPS
1996
13 years 6 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
ICANN
2005
Springer
13 years 10 months ago
Some Issues About the Generalization of Neural Networks for Time Series Prediction
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vri...
NIPS
1996
13 years 6 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...