Measuring the VC-dimension of a learning machine
Neural Computation(1994)
摘要
A method for measuring the capacity of learning machines isdescribed. The method is based on fitting a theoretically derivedfunction to empirical measurements of the maximal differencebetween the error rates on two separate data sets of varying sizes.Experimental measurements of the capacity of various types oflinear classifiers are presented.
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关键词
empirical measurement,maximal differencebetween,varying size,various type,theoretically derivedfunction,error rate,experimental measurement,separate data set,oflinear classifier,vc dimension
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