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Neural-Network and k-Nearest-neighbor Classifiers

Bromley, J. and Sackinger, E. (1991). Neural-Network and k-Nearest-neighbor Classifiers. AT&T Bell Laboratories.

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Abstract

The performance of a state-of-the-art neural network classifier for hand-written digits is compared to that of a k-nearest-neighbor classifier and to human performance. The neural network has a clear advantage over the k-nearest-neighbor method, but at the same time does not yet reach human performance. Two methods for combining neural-network ideas and the k-nearest-neighbor algorithm are proposed. Numerical experiments for these methods show an improvement in performance.

Item Type: Other
Copyright Holders: 1991 AT&T Bell Laboratories
Keywords: artificial neural networks; neural networks; k-nearest-neighbors; deep learning
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35666
Depositing User: Jane M. Bromley
Date Deposited: 29 Jan 2015 09:14
Last Modified: 12 Dec 2018 01:07
URI: http://oro.open.ac.uk/id/eprint/35666
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