Radial Basis Function Neural Networks Have Superlinear VC Dimension


Authored By:Michael Schmitt
Paper Title:Radial Basis Function Neural Networks Have Superlinear VC Dimension
Book/Journal Title:14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 2001, Proceedings
Vol. 2111
Publisher:Springer
Publication Date: 2001
Pages:14-30

BibTeX Record:
@InProceedings{s-rbfnnhs-01,
title = "Radial Basis Function Neural Networks Have Superlinear {VC} Dimension",
author = "Michael Schmitt",
booktitle = "14th Annual Conference on Computational Learning Theory, {COLT} 2001 and 5th {E}uropean Conference on Computational Learning Theory, {EuroCOLT} 2001, Amsterdam, The Netherlands, July 2001, Proceedings",
series = "Lecture Notes in Artificial Intelligence",
volume = "2111",
publisher = "Springer",
year = "2001",
pages = "14--30",
}

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