Constructing Learning Algorithms

Vladimir N. Vapnik
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Vladimir N. Vapnik: AT&T Bell Laboratories

Chapter Chapter 5 in The Nature of Statistical Learning Theory, 1995, pp 119-166 from Springer

Abstract: Abstract To implement the SRM inductive principle in learning algorithms one has to minimize the risk in a given set of functions by controlling two factors: the value of the empirical risk and the value of the confidence interval.

Keywords: Support Vector Machine; Support Vector; Radial Basis Function; Feature Space; Radial Basis Function Neural Network (search for similar items in EconPapers)
Date: 1995
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DOI: 10.1007/978-1-4757-2440-0_6

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