@inproceedings{d1dc6f8187c4446fbcc8207a73a50aa4,
title = "The generalization capabilities of ARTMAP",
abstract = "Bounds on the number of training examples needed to guarantee a certain level of generalization performance in the ARTMAP architecture are derived. Conditions are derived under which ARTMAP can achieve a specific level of performance assuming any unknown, but fixed, probability distribution on the training data.",
author = "Heileman, {G. L.} and M. Georgiopoulos and Healy, {M. J.} and Verzi, {S. J.}",
year = "1997",
doi = "10.1109/ICNN.1997.616176",
language = "English (US)",
isbn = "0780341228",
series = "IEEE International Conference on Neural Networks - Conference Proceedings",
pages = "1068--1071",
booktitle = "1997 IEEE International Conference on Neural Networks, ICNN 1997",
note = "1997 IEEE International Conference on Neural Networks, ICNN 1997 ; Conference date: 09-06-1997 Through 12-06-1997",
}