loading...
Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.91318th International Conference on Patt ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
M. Prior, T. Windeatt, "Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests," Pattern Recognition, International Conference on, vol. 2, pp. 498-501, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.913,
author = {M. Prior and T. Windeatt},
title = {Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {498-501},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.913},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests
SN - 1051-4651
SP498
EP501
A1 - M. Prior,
A1 - T. Windeatt,
PY - 2006
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
M. Prior, University of Surrey, Guildford, GU2 7XH, UK.
T. Windeatt, University of Surrey, Guildford, GU2 7XH, UK.
Stochastic Discrimination is a machine learning algorithm with strong theoretical underpinnings and good published results on UCI datasets. However, it has not been popular amongst practitioners. We look at some of the issues involved in its use, propose the Out-of-Bootstrap error estimator as a means of tuning Stochastic Discrimination?s and other classifiers? performance and contrast Stochastic Discrimination?s utility with that of a related classification technique of Random Forests.
Citation:
M. Prior, T. Windeatt, "Parameter Tuning using the Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests," icpr, vol. 2, pp.498-501, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
Usage of this product signifies your acceptance of the Terms of Use.