A novel classifier selection approach for adaptive boosting algorithms

Shawkat Ali A.B.M. and Dobele T. (2007). A novel classifier selection approach for adaptive boosting algorithms. In: Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007. 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007, Melbourne, VIC, (532-536). July 11, 2007-July 13, 2007. doi:10.1109/ICIS.2007.38


Author Shawkat Ali A.B.M.
Dobele T.
Title of paper A novel classifier selection approach for adaptive boosting algorithms
Conference name 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007
Conference location Melbourne, VIC
Conference dates July 11, 2007-July 13, 2007
Proceedings title Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007
Series Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007
Publication Year 2007
Sub-type Fully published paper
DOI 10.1109/ICIS.2007.38
ISBN 0769528414
Start page 532
End page 536
Total pages 5
Abstract/Summary 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.
Subjects 1700 Computer Science
1705 Computer Networks and Communications
2208 Electrical and Electronic Engineering
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Collection: Scopus Import - Archived
 
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Created: Wed, 27 Nov 2013, 10:09:31 EST by System User