Neural Computation
September 1994, Vol. 6, No. 5, Pages 851-876
(doi: 10.1162/neco.1994.6.5.851)
Measuring the VC-Dimension of a Learning Machine
Article PDF (908.58 KB)
Abstract
A method for measuring the capacity of learning machines is described. The method is based on fitting a theoretically derived function to empirical measurements of the maximal difference between the error rates on two separate data sets of varying sizes. Experimental measurements of the capacity of various types of linear classifiers are presented.