Self-selective clustering of training data using the maximally-receptive classifier/regression bank

A common approach to pattern classification problems is to train a bank of layered perceptrons or other classifiers by clustering the input training data and training each classifier with just the data from a specific cluster. There is no provision in such an approach, however, to assure the compone...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Balasubramanian, R., El-Sharkawi, M.A., Marks, R.J., Jae-Byung Jung, Miyamoto, R.T., Andersen, G.M., Eggen, C.J., Fox, W.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	active sonar classification Aquaculture classifier banks clustering Cybernetics Data mining domain expertise Pattern classification Pattern recognition Physics regression Sonar applications Testing Training data USA Councils
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!