AdaBoost, which stands for Adaptive Boosting, is an ensemble learning algorithm that combines multiple weak learners (e.g., decision trees) to create a strong, accurate model. It is an iterative ...

AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that combines multiple "weak" classifiers to create a powerful ensemble classifier. The algorithm iteratively trains weak ...

ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...

Abstract: AdaBoost is one of the most popular algorithms to construct a strong classifier with linear combination of member classifiers. The member classifiers are selected to minimize the errors in ...

Abstract: Face detection technology is a hot topic of pattern recognition and computer vision. The method based on skin color feature and AdaBoost are both the most representative methods. Among them, ...