246 search results - page 15 / 50 » An ischemia detection method based on artificial neural netw... |
NIPS
1992
13 years 9 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
NN
2000
Springer
13 years 7 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...