The original AdaBoost.R2 paper mentions that the algorithm can be used with any regression learner, not just decision tree regressors. To the best of my knowledge, there are no solid research results ...

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 ...

Introduction: Diabetes is considered one of the leading healthcare concerns affecting millions worldwide. Taking appropriate action at the earliest stages of the disease depends on early diabetes ...

Tech companies acknowledge machine-learning algorithms can perpetuate discrimination and need improvement. By Zachary Small The artist Stephanie Dinkins has long been a pioneer in combining art and ...

Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA. Dtreehub is a lightweight decision tree framework ...

This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost ...

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

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 ...