641 search results - page 26 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
100
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NIPS
1998
14 years 11 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
75
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ICANN
2005
Springer
15 years 3 months ago
2005
Springer
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...
TNN
2011
14 years 4 months ago
2011
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...
ICAISC
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visual...
141
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HIS
2001
14 years 11 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...