Optimization of classifier ensemble diversity
Ensemble diversity was investigated for 12 classifiers and 16 datasets using a generalization error and ambiguity decomposition of the model bias-variance relationship. Diversity was optimized using a genetic algorithm and particle swarm optimization. Classifiers with the greatest contrib...
Saved in:
| Main Author: | Leif E. Peterson |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2024-07-01
|
| Series: | Academia Molecular Biology and Genomics |
| Online Access: | https://www.academia.edu/122458962/Optimization_of_Classifier_Ensemble_Diversity |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimizing Cardiovascular Risk Assessment with a Soft Voting Classifier Ensemble
by: Ammar Oad, et al.
Published: (2024-12-01) -
Optimized Ensemble Methods for Classifying Imbalanced Water Quality Index Data
by: Zaharaddeen Karami Lawal, et al.
Published: (2024-01-01) -
Support of Contextual Classifier Ensemble Building
by: Janina Anna Jakubczyc, et al.
Published: (2015-10-01) -
Robust ensemble classifier for advanced synthetic aperture radar target classification in diverse operational conditions
by: Noor Rahman, et al.
Published: (2025-04-01) -
Multitier ensemble classifiers for malicious network traffic detection
by: Jie WANG, et al.
Published: (2018-10-01)