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|Title:||NEAREST-NEIGHBOR CLASSIFIER FOR THE PERCEPTRON||Authors:||BOUTEN, Marcus
VAN DEN BROECK, Christian
|Issue Date:||1994||Publisher:||EDITIONS PHYSIQUE||Source:||EUROPHYSICS LETTERS, 26(1). p. 69-74||Abstract:||We calculate the generalization error for the nearest-neighbour classifier based on a set of random examples generated by a teacher perceptron. Explicit results are given for dimensions N = 2, N = 3 and N --> infinity. For a natural extension of the nearest-neighbour rule which includes the k-nearest-neighbour rule and the Hebbian perceptron as particular cases it is found that the Hebbian perceptron gives the smallest generalization error.||Notes:||BOUTEN, M, LIMBURGS UNIV CENTRUM,B-3610 DIEPENBEEK,BELGIUM.||Document URI:||http://hdl.handle.net/1942/3789||ISI #:||A1994NH19100012||Type:||Journal Contribution|
|Appears in Collections:||Research publications|
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