This is the main class from which the structure of the algorithm can be seen. The class contains a variable, T, which determines how many iterations the algorithm will compute, and hence how many ...

Abstract: A novel AdaBoost algorithm with floating threshold, called AdaBoost.FT, was put forward based on the maximum likelihood principle. The proposed AdaBoost.FT algorithm significantly improved ...

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...

AdaBoost is a widely used boosting algorithm in machine learning due to its ability to improve the performance of weak classifiers. Unlike Random Forest, which builds multiple decision trees in ...

Department of Computer and Information Technology, Malek-Ashtar University of Technology, Tehran, Iran. [1] [1] S. D. Afantenos, V. Karkaletsis and P. Stamatopoulos, “Summarization from Medical ...