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Abstract: There has recently been widespread interest in the use of multiple models for classification and regression in the statistics and neural networks communities. The Hierarchical Mixture of Experts (HME) [1] has been successful in a number of regression problems, yielding significantly faster training through the use of the Expectation Maximisation algorithm. In this paper we extend the HME to classification and results are reported for three common classification benchmark tests: Exclusive-Or,... (Update)
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BibTeX entry: (Update)
Waterhouse, S. R., and Robinson, A. J., (1994), Classification using hierarchical mixtures of experts, in IEEE Workshop on Neural Networks for Signal Processing. http://citeseer.ist.psu.edu/waterhouse94classification.html More
@inproceedings{ waterhouse94classification,
author = "S. R. Waterhouse and A. J. Robinson",
title = "Classification using hierarchical mixtures of experts",
booktitle = "Proceedings of the 1994 {IEEE} Workshop on Neural Networks for Signal Processing {IV}",
publisher = "IEEE Press",
address = "Long Beach, CA",
pages = "177--186",
year = "1994",
url = "citeseer.ist.psu.edu/waterhouse94classification.html" }
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