Radial Basis Function Networks and Complexity Regularization in Function Learning

Dec-31-1997–Neural Information Processing Systems

In this paper we apply the method of complexity regularization to derive estimationbounds for nonlinear function estimation using a single hidden layer radial basis function network.

artificial intelligence, machine learning, neural network, (11 more...)

Neural Information Processing Systems

Dec-31-1997

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Country:
- Europe > Hungary (0.15)
- North America > Canada (0.14)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (1.00)
  - Statistical Learning (1.00)

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Radial Basis Function Networks and Complexity Regularization in Function Learning
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