Classifier Ensemble Framework: a Diversity Based Approach
Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in...
Main Authors: | Hamid Parvin, Hosein Alizadeh, Mohsen Moshki |
---|---|
Format: | Article |
Language: | English |
Published: |
Science and Research Branch,Islamic Azad University
2016-09-01
|
Series: | Journal of Advances in Computer Engineering and Technology |
Subjects: | |
Online Access: | http://jacet.srbiau.ac.ir/article_8610_782ea1d5866b800e084db8a14aa55fd1.pdf |
Similar Items
-
Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers
by: Serafin Moral-Garcia, et al.
Published: (2023-01-01) -
Sparsity-driven weighted ensemble classifier
by: Atilla Özgandür, et al.
Published: (2018-01-01) -
A tweet sentiment classification approach using an ensemble classifier
by: Vidyashree KP, et al.
Published: (2024-01-01) -
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
by: Madiha Khalid, et al.
Published: (2020-04-01) -
Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning
by: Robercy Alves Da Silva, et al.
Published: (2021-01-01)