Classification of incomplete feature vectors by radial basis function networks
Article
Dybowski, Richard 1998. Classification of incomplete feature vectors by radial basis function networks. Pattern Recognition Letters. 19 (14), pp. 1257-1264.
| Authors | Dybowski, Richard |
|---|---|
| Abstract | The paper describes the use of radial basis function neural networks with Gaussian basis functions to classify incomplete feature vectors. The method uses the fact that any marginal distribution of a Gaussian distribution can be determined from the mean vector and covariance matrix of the joint distribution. |
| Keywords | Incomplete Data; Gaussian mixture models; Radial basis functions; Imputation; EM algorithm; neural networks |
| Journal | Pattern Recognition Letters |
| Journal citation | 19 (14), pp. 1257-1264 |
| ISSN | 0167-8655 |
| Year | 1998 |
| Accepted author manuscript | License CC BY-ND |
| Web address (URL) | http://dx.doi.org/10.1016/S0167-8655(98)00096-8 |
| http://hdl.handle.net/10552/369 | |
| Publication dates | |
| Jul 1998 | |
| Publication process dates | |
| Deposited | 02 Nov 2009 |
| Additional information | Citation: |
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Accepted author manuscript
| Dybowski R.(1998) Pattern Recognition Letters 19 (14) 1257-1264.pdf | ||
| License: CC BY-ND | ||
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