loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A Novel Classifier Selection Approach for Adaptive Boosting Algorithms
Melbourne, Australia
July 11-July 13
ISBN: 0-7695-2841-4
ASCII Text
x 
 
A. B. M Shawkat Ali, Tony Dobele, "A Novel Classifier Selection Approach for Adaptive Boosting Algorithms," Computer and Information Science, ACIS International Conference on, pp. 532-536, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/ICIS.2007.38,
author = {A. B. M Shawkat Ali and Tony Dobele},
title = {A Novel Classifier Selection Approach for Adaptive Boosting Algorithms},
journal ={Computer and Information Science, ACIS International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2841-4},
pages = {532-536},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Science, ACIS International Conference on
TI - A Novel Classifier Selection Approach for Adaptive Boosting Algorithms
SN - 0-7695-2841-4
SP532
EP536
A1 - A. B. M Shawkat Ali,
A1 - Tony Dobele,
PY - 2007
KW - null
VL - 0
JA - Computer and Information Science, ACIS International Conference on
ER -
 
A. B. M Shawkat Ali, Central Queensland University, Australia
Tony Dobele, Central Queensland University, Australia
Boosting is a general approach for improving classifier performances. In this research we investigated these issues with the latest Boosting algorithm AdaBoostM1. A trial and error classifier feeding with the AdaBoostM1 algorithm is a regular practice for classification tasks in the research community. We provide a novel statistical information-based rule method for unique classifier selection with the AdaBoostM1 algorithm. The solution also verified a wide range of benchmark classification problems.
Citation:
A. B. M Shawkat Ali, Tony Dobele, "A Novel Classifier Selection Approach for Adaptive Boosting Algorithms," icis, pp.532-536, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.