A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule
Ensemble learning, as a kind of method to improve the generalization ability of classifiers, is often used to improve the model effect in the field of deep learning. However, the present ensemble learning methods mostly adopt voting fusion in combining strategies. This strategy has difficulty mining...
Saved in:
| Main Authors: | YiZhe Zhang, YunYi Zhang, GuoHui Zhou, Wei Zhang, KangLe Li, QuanQi Mu, Wei He, Kai Tang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/8987461 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Testimonial Injustice in Evidential Reasoning
by: Rachel Herdy
Published: (2024-06-01) -
Use of evidential reasoning and AHP to assess regional industrial safety.
by: Zhichao Chen, et al.
Published: (2018-01-01) -
A Security Posture Assessment of Industrial Control Systems Based on Evidential Reasoning and Belief Rule Base
by: Huishan Song, et al.
Published: (2024-11-01) -
A New Evidential Reasoning Rule Considering Evidence Correlation with Maximum Information Coefficient and Application in Fault Diagnosis
by: Shanshan Liu, et al.
Published: (2025-05-01) -
Evidential reasoning, testimonial injustice and the fairness of the criminal trial
by: Federico Picinali
Published: (2023-09-01)