869 search results - page 11 / 174 » An Effective Learning Method for Max-Min Neural Networks |
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
SBRN
2008
IEEE
14 years 3 months ago
2008
IEEE
In automated multi-label text categorization, an automatic categorization system should output a category set, whose size is unknown a priori, for each document under analysis. Ma...
ICONIP
2008
13 years 10 months ago
2008
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...