950 search results - page 124 / 190 » Training a Quantum Neural Network |
FSKD
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
NN
2008
Springer
13 years 7 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
IJCNN
2000
IEEE
14 years 10 days ago
2000
IEEE
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...