PHENOMENA AND PROCESSES Mathematical Concepts [G17] Mathematical Concepts Algorithms [G17.035] Algorithms Artificial Intelligence [G17.035.250] Artificial Intelligence Machine Learning [G17.035.250.500] Machine Learning Deep Learning [G17.035.250.500.250] Deep Learning Dimensionality Reduction [G17.035.250.500.375] Dimensionality Reduction Ensemble Learning [G17.035.250.500.438] Ensemble Learning Boosting Machine Learning Algorithms [G17.035.250.500.438.500] Boosting Machine Learning Algorithms Federated Learning [G17.035.250.500.469] Federated Learning Reinforcement Machine Learning [G17.035.250.500.485] Reinforcement Machine Learning Representation Machine Learning [G17.035.250.500.493] Representation Machine Learning Supervised Machine Learning [G17.035.250.500.500] Supervised Machine Learning Transfer Machine Learning [G17.035.250.500.625] Transfer Machine Learning Unsupervised Machine Learning [G17.035.250.500.750] Unsupervised Machine Learning INFORMATION SCIENCE Information Science [L01] Information Science Computing Methodologies [L01.224] Computing Methodologies Algorithms [L01.224.050] Algorithms Artificial Intelligence [L01.224.050.375] Artificial Intelligence Machine Learning [L01.224.050.375.530] Machine Learning Deep Learning [L01.224.050.375.530.250] Deep Learning Dimensionality Reduction [L01.224.050.375.530.375] Dimensionality Reduction Ensemble Learning [L01.224.050.375.530.438] Ensemble Learning Boosting Machine Learning Algorithms [L01.224.050.375.530.438.500] Boosting Machine Learning Algorithms Federated Learning [L01.224.050.375.530.469] Federated Learning Reinforcement Machine Learning [L01.224.050.375.530.485] Reinforcement Machine Learning Representation Machine Learning [L01.224.050.375.530.493] Representation Machine Learning Supervised Machine Learning [L01.224.050.375.530.500] Supervised Machine Learning Transfer Machine Learning [L01.224.050.375.530.625] Transfer Machine Learning Unsupervised Machine Learning [L01.224.050.375.530.750] Unsupervised Machine Learning

Ensemble Learning - Preferred

Concept UI	M000766616
Scope note	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.
Preferred term	Ensemble Learning
Entry term(s)	Aggregation, Ensemble Model Ensemble Learnings Ensemble Model Aggregation Ensemble Model Aggregations Learning, Ensemble Model Aggregation, Ensemble