1997
@article{HKL1997,
vgclass = {refpap},
vgproject = {nn},
author = {Lasse Holstr\"{o}m and Petri Koistinen and Jorma Laaksonen
and Erkki Oja},
title = {Neural and statistical classifiers -- taxonomy and two
case studies},
journal = {IEEE Transactions on Neural Networks},
volume = {8},
number = {1},
pages = {5--17},
month = {January},
year = {1997},
abstract = {Pattern classification using neural networks and
statistical methods is discussed. We give a tutorial overview in which
popular classifiers are grouped into distinct categories according to
their underlying mathematical principles; also, we assess what makes a
classifier neural. The overview is complemented by two case studies
using handwritten digit and phoneme data that test the performance of a
number of most typical neural-network and statistical classifiers. Four
methods of our own are included: reduced kernel discriminant analysis,
the learning $k$-nearest neighbours classifier, the averaged learning
subspace method, and a version of kernel discriminant analysis.},
}