72 search results - page 3 / 15 » A neural network approach to ordinal regression |
NN
2000
Springer
14 years 9 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
ICANN
2011
Springer
14 years 26 days 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...
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AI
2002
Springer
14 years 9 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
IJON
2008
14 years 9 months ago
2008
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
DMIN
2006
14 years 10 months ago
2006
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...