950 search results - page 74 / 190 » Training a Quantum Neural Network |
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
BC
2007
13 years 8 months ago
2007
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
NIPS
2004
13 years 9 months ago
2004
Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cr...
CEC
2003
IEEE
14 years 1 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
TSD
2010
Springer
13 years 5 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...