Abstract: Machine learning algorithms have become a hot topic in current research due to their unique learning performance, and have achieved fruitful research and application results in various ...

AdaBoost (Adaptive Boosting) is a powerful ensemble machine learning algorithm. It works by combining multiple "weak classifiers" into a single "strong classifier". A weak classifier (or weak learner) ...

-->AdaBoost, XGBoost, and LightGBM are popular boosting algorithms used in machine learning. -->AdaBoost focuses on correcting errors by giving higher weight to misclassified samples in each ...

AdaBoost algorithm (Freund and Schapire, 1997) is a typical iterative learning algorithm, whose core idea is to train a series of weak classifiers for the same training set, and then collect these ...

Research on mobile ultrasonic stratified flow velocity measurement based on machine learning algorithms. ... The experimental results demonstrated that the use of the AdaBoost algorithm from machine ...