950 search results - page 119 / 190 » Training a Quantum Neural Network |
104
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
103
Voted
ICANN
2005
Springer
15 years 9 months ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
129
Voted
INFORMATICALT
2000
15 years 3 months ago
2000
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estima...
162
Voted
ESANN
2004
15 years 5 months ago
2004
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
116
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...