Magnification Factors for the GTM Algorithm (1997)
by
Christopher M. Bishop
| Venue: | In Proceedings IEE Fifth International Conference on Artificial Neural Networks |
| Citations: | 13 - 4 self |
BibTeX
@INPROCEEDINGS{Bishop97magnificationfactors,
author = {Christopher M. Bishop},
title = {Magnification Factors for the GTM Algorithm},
booktitle = {In Proceedings IEE Fifth International Conference on Artificial Neural Networks},
year = {1997},
pages = {64--69}
}
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Abstract
Our goal is to model a probability distribution in a D-dimensional data space in terms of a smallernumber,
Citations
| 6232 | Maximum likelihood from incomplete data via the EM algorithm - Dempster, Laird, et al. - 1977 |
| 3909 | Neural Networks for Pattern Recognition - Bishop - 1995 |
| 936 | Self-Organized Formation of Topologically Correct Feature Maps - Kohonen - 1982 |
| 896 | BD: Pattern Recognition and Neural Networks - Ripley - 1996 |
| 47 | Self-organization as an iterative kernel smoothing process, Neural Computation 7 - Mulier, Cherkassky - 1995 |
| 3 | GTM: the generative topographic mapping. Accepted for publication in Neural Computation. Available as NCRG/96/015 from http://www.ncrg.aston.ac.uk - Bishop, Svens'en, et al. - 1997 |
