id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_bcpbwz3m2rh6bibnz7jai32lf4	David Palacios	Combination of multiple diagnosis systems in Self-Healing networks	2016	13	.pdf	application/pdf	12981	1675	75	In this context, hybrid ensembles of classifiers enhance the diagnosis performance of expert systems of different kinds by combining their outputs. set of baseline systems which must first assess the cases uner test and, consequently, provide partial diagnoses which are fially combined into a final decision using a majority vote scheme llows combining the diagnoses that the standalone diagnosis sysems would output for a case under test without actually needing • A method to combine any number and kind of different standalone classifiers as well as different sources of expert knowledge in order to get an enhanced performance compared to gure, the KPIs from the case y act as input values in the behavor models of the R diagnosis systems, i.e., the probability functions the diagnosis performance of the proposed method the proportion of cases used for the modeling to the testing set has been	./cache/work_bcpbwz3m2rh6bibnz7jai32lf4.pdf	./txt/work_bcpbwz3m2rh6bibnz7jai32lf4.txt