Archivio Istituzionale della RicercaThis paper is devoted to study an iterative estimation/classification algorithm over a sensor network with faulty units recently appeared in the literature. We here present a complete analysis of the performance of the algorithm when the number of units goes to infinity both in terms of estimation and of classification error. In particular it is shown that the algorithm solution converges to the optimal Maximum Likelihood estimator.
A large scale analysis of a classification algorithm over sensor networks / Fagnani, Fabio; Fosson, Sophie; Ravazzi, Chiara. - STAMPA. - (2012), pp. 4835-4839. (Intervento presentato al convegno 51st IEEE Conference on Decision and Control tenutosi a Maui, HI nel 10-13 Dec. 2012) [10.1109/CDC.2012.6425917].
A large scale analysis of a classification algorithm over sensor networks
FAGNANI, FABIO;FOSSON, SOPHIE;RAVAZZI, CHIARA
2012
Abstract
This paper is devoted to study an iterative estimation/classification algorithm over a sensor network with faulty units recently appeared in the literature. We here present a complete analysis of the performance of the algorithm when the number of units goes to infinity both in terms of estimation and of classification error. In particular it is shown that the algorithm solution converges to the optimal Maximum Likelihood estimator.
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https://hdl.handle.net/11583/2519027
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