Geodesic
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
Computer Science and Information Systems, Tome 3 (2006) no. 2.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of experiments with bagging and boosting methods. Our use of these methods aims at classification algorithms generating decision trees. Results of performance tests focused on the use of the bagging and boosting methods in connection with binary decision trees are presented. The minimum number of decision trees, which enables an improvement of the classification performed by the bagging and boosting methods, was found. The tests were carried out using the Reuter’s 21578 collection of documents as well as documents from an Internet portal of TV broadcasting company Markíza. The comparison of our results on testing the bagging and boosting algorithms is presented. 
@article{CSIS_2006_3_2_a3,
     author = {Krist{\'\i}na Machov\'a and Miroslav Puszta and Franti\v{s}ek Bar\v{c}\'ak and Peter Bedn\'ar},
     title = {A {Comparison} of the {Bagging} and the {Boosting} {Methods} {Using} the {Decision} {Trees} {Classifiers}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {3},
     number = {2},
     year = {2006},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a3/}
}
TY  - JOUR
AU  - Kristína Machová
AU  - Miroslav Puszta
AU  - František Barčák
AU  - Peter Bednár
TI  - A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
JO  - Computer Science and Information Systems
PY  - 2006
VL  - 3
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a3/
ID  - CSIS_2006_3_2_a3
ER  - 
%0 Journal Article
%A Kristína Machová
%A Miroslav Puszta
%A František Barčák
%A Peter Bednár
%T A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
%J Computer Science and Information Systems
%D 2006
%V 3
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a3/
%F CSIS_2006_3_2_a3
Kristína Machová; Miroslav Puszta; František Barčák; Peter Bednár. A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers. Computer Science and Information Systems, Tome 3 (2006) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a3/