Abstract
| 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| Publication status | Unpublished - 15 Jun 1995 |
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Keywords
- n-tuple
- pattern recognition
- ultra-fast memory-based method
- optimisation-based neural network algorithms
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The n-tuple classifier: too good to ignore. / Morciniec, Michal; Rohwer, Richard.
Birmingham : Aston University, 1995.Research output: Working paper › Technical report
TY - UNPB
T1 - The n-tuple classifier: too good to ignore
AU - Morciniec, Michal
AU - Rohwer, Richard
PY - 1995/6/15
Y1 - 1995/6/15
N2 - 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.
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.
KW - n-tuple
KW - pattern recognition
KW - ultra-fast memory-based method
KW - optimisation-based neural network algorithms
M3 - Technical report
SN - NCRG/95/013
BT - The n-tuple classifier: too good to ignore
PB - Aston University
CY - Birmingham
ER -