Decision tree ensemble construction incorporating feature values modification and random subspace method
The goal of ensemble construction with several classifiers is to achieve better generalization ability over individual classifiers.An ensemble method produces diverse classifiers and combines their decisions for ensemble’s decision. A number of methods have been investigated for constructing ensemb...
Main Authors: | Akhand, M. A. H, Rahman, M.M. Hafizur, Murase, K. |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2014
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/36732/ http://irep.iium.edu.my/36732/ http://irep.iium.edu.my/36732/2/proceedings%28Selected_Pages%29.pdf http://irep.iium.edu.my/36732/4/Decision_tree_ensemble.pdf |
Similar Items
-
Pattern generation through feature values modification
and decision tree ensemble construction
by: Akhand, M. A. H, et al.
Published: (2013) -
A cost and delay estimation of a suite of low-cost adaptive routers for hierarchical torus network
by: Rahman, M.M. Hafizur, et al.
Published: (2012) -
Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016) -
Handwritten Bangla numeral recognition using deep long short term memory
by: Ahmed, Mahtab, et al.
Published: (2017) -
Tori-connected torus network and its derivative
by: Rahman, M.M. Hafizur
Published: (2012)