554 search results - page 29 / 111 » Variable selection using neural-network models |
NIPS
1998
14 years 11 months ago
1998
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
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NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
14 years 9 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...