Special Issue on Ensemble Learning and Applications
During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained a significant attention from the scientific community. Machine learning ensemble methods combine multiple learning algorithms to obtain better predictive performance than could be...
Main Authors: | Panagiotis Pintelas, Ioannis E. Livieris |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/13/6/140 |
Similar Items
-
Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction
by: Emmanuel Pintelas, et al.
Published: (2020-05-01) -
Performance of heterogenous neuro-fuzzy ensembles over medical datasets
by: Hicham Benbriqa, et al.
Published: (2023-09-01) -
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
by: Ioannis E. Livieris, et al.
Published: (2020-05-01) -
Predicting stock market direction in South African banking sector using ensemble machine learning techniques
by: Angelica Mcwera, et al.
Published: (2023-11-01) -
Offensive Language Detection Using Soft Voting Ensemble Model
by: Brillian Fieri, et al.
Published: (2023-06-01)