85 search results - page 8 / 17 » Novel maximum-margin training algorithms for supervised neur... |
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
ROMAN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract—This paper presents the development and performance evaluation of a human-computer interface that enables a limb-disabled person to access a computer via neural signals....
SOFTCO
2004
Springer
14 years 1 months ago
2004
Springer
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
ICSNC
2007
IEEE
14 years 2 months ago
2007
IEEE
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
CNSR
2004
IEEE
14 years 10 days ago
2004
IEEE
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...