Overfitting of boosting and regularized Boosting algorithms

2007 ◽  
Vol 90 (9) ◽  
pp. 69-78 ◽  
Author(s):  
Takashi Onoda
Keyword(s):  
Boosting Algorithms

scholarly journals Cost-sensitive boosting algorithms: Do we really need them?

2016 ◽  
Vol 104 (2-3) ◽  
pp. 359-384 ◽  
Author(s):  
Nikolaos Nikolaou ◽  
Narayanan Edakunni ◽  
Meelis Kull ◽  
Peter Flach ◽  
Gavin Brown
Keyword(s):  
Boosting Algorithms

scholarly journals A comparison of the bagging and the boosting methods using the decision trees classifiers

2006 ◽  
Vol 3 (2) ◽  
pp. 57-72 ◽  
Author(s):  
Kristina Machova ◽  
Miroslav Puszta ◽  
Frantisek Barcak ◽  
Peter Bednar
Keyword(s):  
Decision Trees ◽  
Classification Algorithm ◽  
Classification Algorithms ◽  
Performance Tests ◽  
Binary Decision ◽  
Internet Portal ◽  
Minimum Number ◽  
Boosting Algorithms ◽  
Binary Decision Trees ◽  
Tv Broadcasting

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 Mark?za. The comparison of our results on testing the bagging and boosting algorithms is presented.

Boosting algorithms with topic modeling for multi-label text categorization: A comparative empirical study

2015 ◽  
Vol 41 (5) ◽  
pp. 732-746 ◽  
Author(s):  
Bassam Al-Salemi ◽  
Mohd. Juzaiddin Ab Aziz ◽  
Shahrul Azman Noah
Keyword(s):  
Empirical Study ◽  
Topic Modeling ◽  
Text Categorization ◽  
Boosting Algorithms
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