950 search results - page 141 / 190 » Training a Quantum Neural Network |
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...
MICAI
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...