135 search results - page 9 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
122
Voted
GECCO
2011
Springer
14 years 1 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
73
Voted
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
72
Voted
IJCAI
1989
14 years 10 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
EAAI
2006
14 years 9 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...