Title :
A new meta-classifier
Author :
Buscema, M. ; Terzi, Sergio ; Tastle, William
Author_Institution :
Semeion Res. Center, Rome, Italy
Abstract :
A taxonomy for classifying classifiers is presented. A new meta-classifier, Meta-Consensus, with a foundation in both consensus theory and the theory of independent judges, is introduced.
Keywords :
pattern classification; topology; consensus theory; meta-classifier; meta-consensus; Artificial neural networks; Educational institutions; Equations; Error analysis; Instruments; Libraries; Neural networks; Taxonomy; Testing; Topology;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548298
