950 search results - page 148 / 190 » Training a Quantum Neural Network |
142
Voted
ANNPR
2008
Springer
15 years 5 months ago
2008
Springer
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
112
Voted
EUSFLAT
2001
15 years 4 months ago
2001
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
165
Voted
ICANN
2010
Springer
15 years 4 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...
122
Voted
IJON
2007
15 years 3 months ago
2007
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
116
Voted
NN
2002
Springer
15 years 3 months ago
2002
Springer
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...