Open AccessGap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks
Author(s) -
M. Zhong,
D. Coggeshall,
E. Ghaneie,
T. Pope,
M. Rivera,
M. Georgiopoulos,
G.C. Anagnostopoulos,
M. Mollaghasemi,
S. Richie
Publication year - 2006
Publication title -
the 2006 ieee international joint conference on neural network proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1109/ijcnn.2006.1716338
Subject(s) - smoothing , artificial neural network , computer science , probabilistic logic , artificial intelligence , cluster analysis , probabilistic neural network , machine learning , regression , classifier (uml) , regression analysis , estimation theory , data mining , pattern recognition (psychology) , statistics , algorithm , mathematics , time delay neural network , computer vision
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