Ensemble Learning [souborové učení]

topical
Terms

Ensemble Model Aggregation

Definition

A method in machine learning where several base learners are combined to create an optimal learning model. This can be used for a variety of models including forecasting, classification, or function approximation.

DUI
D000098406 MeSH Browser
CUI
M000766616
Previous indexing
Machine Learning (2013-2024)
History note
2025
Public note
2025

G Phenomena and Processes
G17.035 Algorithms 2 697
G17.035.250.500 Machine Learning 148
G17.035.250.500.250 Deep Learning 51
G17.035.250.500.375 Dimensionality Reduction
G17.035.250.500.438 Ensemble Learning
G17.035.250.500.469 Federated Learning
G17.035.250.500.500 Supervised Machine Learning 12
G17.035.250.500.625 Transfer Machine Learning
G17.035.250.500.750 Unsupervised Machine Learning 6

L Information Science
L01.224.050 Algorithms 2 697
L01.224.050.375 Artificial Intelligence 394
L01.224.050.375.530 Machine Learning 148
L01.224.050.375.530.250 Deep Learning 51
L01.224.050.375.530.375 Dimensionality Reduction
L01.224.050.375.530.438 Ensemble Learning
L01.224.050.375.530.438.500 Boosting Machine Learning Algorithms
L01.224.050.375.530.469 Federated Learning
L01.224.050.375.530.485 Reinforcement Machine Learning
L01.224.050.375.530.493 Representation Machine Learning
L01.224.050.375.530.500 Supervised Machine Learning 12
L01.224.050.375.530.625 Transfer Machine Learning
L01.224.050.375.530.750 Unsupervised Machine Learning 6