604 search results - page 51 / 121 » Regularization and feature selection for networked features |
134
Voted
WAPCV
2004
Springer
15 years 9 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 ...
137
Voted
EAAI
2007
15 years 3 months ago
2007
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
122
Voted
DAS
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
146
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
129
Voted
LCN
2005
IEEE
15 years 9 months ago
2005
IEEE
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...