641 search results - page 90 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
85
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This work presents a new architecture of artificial neural networks – Venn Networks, which produce localized activations in a 2D map while executing simple cognitive tasks. T...
97
Voted
IPC
2007
IEEE
15 years 4 months ago
2007
IEEE
Current context-aware adaptation techniques are limited in their support for user personalisation. Complex codebases, a reliance on developer modification and an inability to auto...
ICDAR
2011
IEEE
13 years 9 months ago
2011
IEEE
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
NN
2008
Springer
14 years 9 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
68
Voted
IJON
2000
14 years 9 months ago
2000
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...