A radial basis function network classifier to maximise leave-one-output mutual information
We develop an orthogonal forward selection (OFS) approach to construct radial basis function (RBF) network classifiers for two-class problems. Our approach integrates several concepts in probabilistic modelling, including cross validation, mutual information and Bayesian hyperparameter fitting. At e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2014-10.
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| Subjects: | |
| Online Access: | Get fulltext |