70 search results - page 12 / 14 » Neural Networks - A Systematic Introduction |
110
Voted
NN
1998
Springer
14 years 11 months ago
1998
Springer
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological an...
106
Voted
DAGM
1997
Springer
15 years 3 months ago
1997
Springer
A novel approach to the computation of an approximate estimate of spatial object pose from camera images is proposed. The method is based on a neural network that generates pose hy...
NIPS
1996
15 years 1 months ago
1996
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
101
Voted
BIBE
2007
IEEE
15 years 6 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...