The n-tuple classifier: too good to ignore

Michal Morciniec; Richard Rohwer

The n-tuple classifier: too good to ignore

Michal Morciniec, Richard Rohwer

Aston University

Research output: Preprint or Working paper › Technical report

Abstract

The n-tuple pattern recognition method has been tested using a selection of 11 large data sets from the European Community StatLog project, so that the results could be compared with those reported for the 23 other algorithms the project tested. The results indicate that this ultra-fast memory-based method is a viable competitor with the others, which include optimisation-based neural network algorithms, even though the theory of memory-based neural computing is less highly developed in terms of statistical theory.

Original language	English
Place of Publication	Birmingham
Publisher	Aston University
Number of pages	11
ISBN (Print)	NCRG/95/013
Publication status	Unpublished - 15 Jun 1995

Keywords

n-tuple
pattern recognition
ultra-fast memory-based method
optimisation-based neural network algorithms

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abstract = "The n-tuple pattern recognition method has been tested using a selection of 11 large data sets from the European Community StatLog project, so that the results could be compared with those reported for the 23 other algorithms the project tested. The results indicate that this ultra-fast memory-based method is a viable competitor with the others, which include optimisation-based neural network algorithms, even though the theory of memory-based neural computing is less highly developed in terms of statistical theory.",

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AB - The n-tuple pattern recognition method has been tested using a selection of 11 large data sets from the European Community StatLog project, so that the results could be compared with those reported for the 23 other algorithms the project tested. The results indicate that this ultra-fast memory-based method is a viable competitor with the others, which include optimisation-based neural network algorithms, even though the theory of memory-based neural computing is less highly developed in terms of statistical theory.

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KW - ultra-fast memory-based method

KW - optimisation-based neural network algorithms

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SN - NCRG/95/013

BT - The n-tuple classifier: too good to ignore

PB - Aston University

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ER -

The n-tuple classifier: too good to ignore

Abstract

Keywords

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Cite this