641 search results - page 59 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
NIPS
2008
14 years 11 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
WAPCV
2004
Springer
15 years 3 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 ...
NCA
2008
IEEE
14 years 9 months ago
2008
IEEE
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
NN
2006
Springer
14 years 9 months ago
2006
Springer
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
CSMR
2009
IEEE
15 years 2 months ago
2009
IEEE
There is an increasing interest in more accurate prediction of software maintainability in order to better manage and control software maintenance. Recently, TreeNet has been prop...