Weighted Scoring in Geometric Space for Decision Tree Ensemble
In order to improve the classification performance of a single classification model, Multiple Classifier Systems (MCS) are used. One of the most common techniques utilizing multiple decision trees is the random forest, where diversity between base classifiers is obtained by bagging the training data...
Main Authors: | Jedrzej Biedrzycki, Robert Burduk |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9079594/ |
Similar Items
-
Decision Tree Integration Using Dynamic Regions of Competence
by: Jędrzej Biedrzycki, et al.
Published: (2020-10-01) -
Integration and Selection of Linear SVM Classifiers in Geometric Space
by: Robert Burduk, et al.
Published: (2019-06-01) -
Integration of Decision Trees Using Distance to Centroid and to Decision Boundary
by: Jedrzej Biedrzycki, et al.
Published: (2020-06-01) -
ANALYSE THE PERFORMANCE OF ENSEMBLE CLASSIFIERS USING SAMPLING TECHNIQUES
by: M. Balamurugan, et al.
Published: (2016-07-01) -
Confidence-Based Voting for the Design of Interpretable Ensembles with Fuzzy Systems
by: Vladimir Stanovov, et al.
Published: (2020-04-01)