641 search results - page 94 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
NPL
1998
14 years 9 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
65
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
114
Voted
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. Robust face alignment is crucial for many face processing applications. As face detection only gives a rough estimation of face region, one important problem is how to al...