Preferred Label : Boosting Machine Learning Algorithms;
MeSH definition : 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.;
MeSH synonym : Machine Learning Boosting Algorithms; Boosting, Machine Learning; Machine Learning Boosting; Machine Learning Boostings; Ensemble Machine Learning Boosting;
MeSH hyponym : Adaptive Boosting Algorithm; Algorithm, Adaptive Boosting; Boosting Algorithm, Adaptive; Adaboost; Adaboosts; Algorithm, Gradient Boosting; Boosting Algorithm, Gradient; Gradient Boosting Algorithm; Extreme Gradient Boosts; Gradient Boost, Extreme; XGBoost; XGBoosts; LightGBM; Boosting, Categorical; Categorical Boostings; Categorical Boosting Algorithms; Algorithm, Categorical Boosting; Boosting Algorithm, Categorical; Categorical Boosting Algorithm; CatBoost;
Origin ID : D000098404;
UMLS CUI : C5940523;
Currated CISMeF NLP mapping
- Record concept(s)
- Semantic type(s)
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.
