1701 search results - page 69 / 341 » Learning Mappings with Neural Network |
142
click to vote
WAPCV
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
130
click to vote
IJCNN
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
145
click to vote
DL
1999
Springer
15 years 9 months ago
1999
Springer
Digital Libraries have gained tremendous interest with numerous research projects addressing the wealth of challenges in this field. While computational intelligence systems are ...
144
click to vote
GECCO
2006
Springer
15 years 8 months ago
2006
Springer
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
107
click to vote
IJCAI
2003
15 years 6 months ago
2003
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...