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Neural Networks and Computational Learning Theory

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NeuroCOLT Technical Report NC-TR-95-021

Model Selection for Neural Networks:
Comparing MDL and NIC

Guido te Brake
Utrecht University,

Joost N. Kok
Utrecht University,

Paul M.B. Vitanyi
CWI, Amsterdam

Abstract
We compare the MDL and NIC methods for determining the correct size of a feedforward neural network. The NIC method has to be adapted for this kind of networks. We include an experiment based on a small standard problem.

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