Ensemble Learning [souborové učení]
topical
- Terms
-
Ensemble Model Aggregation
Persistent link
https://www.medvik.cz/link/D000098406
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
Allowable subheadings
- CL
- classification
- EC
- economics
- ES
- ethics
- HI
- history
- LJ
- legislation & jurisprudence
- ST
- standards
- SN
- statistics & numerical data
- SD
- supply & distribution
- TD
- trends
...
Occurrences in Medvik records
G
Phenomena and Processes
G17.035.250.500.375
Dimensionality Reduction
G17.035.250.500.438
Ensemble Learning
G17.035.250.500.438.500
Boosting Machine Learning Algorithms
G17.035.250.500.469
Federated Learning
G17.035.250.500.485
Reinforcement Machine Learning
G17.035.250.500.493
Representation Machine Learning
G17.035.250.500.625
Transfer Machine Learning
L
Information Science
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
L01.224.050.375.530.625
Transfer Machine Learning