364 search results - page 13 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
151
Voted
JMLR
2002
15 years 2 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
120
Voted
ICCV
2009
IEEE
15 years 8 days ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
140
Voted
ICANN
2011
Springer
14 years 6 months ago
2011
Springer
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
136
Voted
IJCAI
2001
15 years 3 months ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
132
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TNN
2008
15 years 2 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...