@inproceedings{c0a103b7d021460c8e4429a23a7e1ba5,
title = "Nonparametric training algorithm for decentralized binary hypothesis testing networks",
abstract = "We present a distributed nonparametric minimum-error training algorithm for networks of linear threshold classifiers performing decentralized binary hypothesis testing (detection). The training algorithm consists of communicating stochastic approximation algorithms. Knowledge of the network topology is required by the algorithm. We suggest that models of the variety in this study provide a paradigm for the study of adaptation in human decision making organizations.",
author = "John Wissinger and Michael Athans",
year = "1993",
language = "English (US)",
isbn = "0780308611",
series = "American Control Conference",
publisher = "Publ by IEEE",
pages = "176--177",
editor = "Anon",
booktitle = "American Control Conference",
note = "Proceedings of the 1993 American Control Conference Part 3 (of 3) ; Conference date: 02-06-1993 Through 04-06-1993",
}