Title :
Strong Universal Consistency of Neural Network Classifiers
Author :
Faragó, András ; Lugosi, Gabor
Author_Institution :
Technical University of Budapest, Hungary
Keywords :
Convergence; Error probability; H infinity control; Neural networks; Neurons; Pattern classification; Pattern recognition; Random variables; Telematics; Training data;
Conference_Titel :
Information Theory, 1993. Proceedings. 1993 IEEE International Symposium on
Print_ISBN :
0-7803-0878-6
DOI :
10.1109/ISIT.1993.748747
