Descriptor English: | Boosting Machine Learning Algorithms |
Descriptor Spanish: | Impulso de los Algoritmos de Aprendizaje Automático |
Descriptor Portuguese: | Algoritmos de Reforço para Aprendizado de Máquina |
Descriptor French: | Without translation |
Entry term(s): |
Adaboost Adaboosts Adaptive Boosting Algorithm Adaptive Boosting Algorithms Algorithm, Adaptive Boosting Algorithm, Categorical Boosting Algorithm, Gradient Boosting Boosting Algorithm, Adaptive Boosting Algorithm, Categorical Boosting Algorithm, Gradient Boosting, Categorical Boosting, Machine Learning CatBoost Categorical Boosting Categorical Boosting Algorithm Categorical Boosting Algorithms Categorical Boostings Ensemble Machine Learning Boosting Extreme Gradient Boost Extreme Gradient Boosts Gradient Boost, Extreme Gradient Boosting Algorithm Gradient Boosting Algorithms Iterative Model Building Light Gradient Boosting Machine LightGBM Machine Learning Boosting Machine Learning Boosting Algorithms Machine Learning Boostings XGBoost XGBoosts |
Tree number(s): |
G17.035.250.500.438.500 G17.035.438 L01.224.050.375.530.438.500 L01.224.050.453 |
RDF Unique Identifier: | https://id.nlm.nih.gov/mesh/D000098404 |
Scope note: | A form of ensemble learning methods which combines weak learners to create strong ones, which reduces training errors and bias in the training models. There are different types of boosting such as gradient boosting, XGBoost, and Adaboost. |
Allowable Qualifiers: | No qualifiers |
Public MeSH Note: | 2025 |
History Note: | 2025 |
DeCS ID: | 60802 |
Unique ID: | D000098404 |
Documents indexed in the Virtual Health Library (VHL): | Click here to access the VHL documents |
Date Established: | 2025/01/01 |
Date of Entry: | 2024/08/09 |
Revision Date: | 2023/12/06 |
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PHENOMENA AND PROCESSES
Mathematical Concepts [G17]Mathematical Concepts -
PHENOMENA AND PROCESSES
Mathematical Concepts [G17]Mathematical Concepts -
INFORMATION SCIENCE
Information Science [L01]Information Science -
INFORMATION SCIENCE
Information Science [L01]Information Science
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Boosting Machine Learning Algorithms
- Preferred
Adaptive Boosting Algorithms
- Narrower
Iterative Model Building
- Related but not broader or narrower
Gradient Boosting Algorithms
- Narrower
Extreme Gradient Boost
- Narrower
Light Gradient Boosting Machine
- Narrower
Categorical Boosting
- Narrower
Concept UI |
M000766606 |
Scope note | A form of ensemble learning methods which combines weak learners to create strong ones, which reduces training errors and bias in the training models. There are different types of boosting such as gradient boosting, XGBoost, and Adaboost. |
Preferred term | Boosting Machine Learning Algorithms |
Entry term(s) |
Boosting, Machine Learning Ensemble Machine Learning Boosting Machine Learning Boosting Machine Learning Boosting Algorithms Machine Learning Boostings |
Concept UI |
M000766607 |
Preferred term | Adaptive Boosting Algorithms |
Entry term(s) |
Adaboost Adaboosts Adaptive Boosting Algorithm Algorithm, Adaptive Boosting Boosting Algorithm, Adaptive |
Concept UI |
M000766608 |
Preferred term | Iterative Model Building |
Concept UI |
M000766609 |
Preferred term | Gradient Boosting Algorithms |
Entry term(s) |
Algorithm, Gradient Boosting Boosting Algorithm, Gradient Gradient Boosting Algorithm |
Concept UI |
M000766610 |
Preferred term | Extreme Gradient Boost |
Entry term(s) |
Extreme Gradient Boosts Gradient Boost, Extreme XGBoost XGBoosts |
Concept UI |
M000766611 |
Preferred term | Light Gradient Boosting Machine |
Entry term(s) |
LightGBM |
Concept UI |
M000766612 |
Preferred term | Categorical Boosting |
Entry term(s) |
Algorithm, Categorical Boosting Boosting Algorithm, Categorical Boosting, Categorical CatBoost Categorical Boosting Algorithm Categorical Boosting Algorithms Categorical Boostings |
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