4079 search results - page 717 / 816 » Neural Networks |
102
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
113
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AAIM
2009
Springer
15 years 7 months ago
2009
Springer
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
110
Voted
GECCO
2009
Springer
15 years 5 months ago
2009
Springer
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
133
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ESANN
2007
15 years 2 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
104
Voted
NIPS
2004
15 years 2 months ago
2004
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...