Description: Adaboost is an iterative algorithm, its core idea is different classifications for the same training set (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifier).
To Search:
File list (Check if you may need any files):
Adaboost
........\adaBoost.m
........\getError.m
........\runAdaBoosting.m
........\start.m
........\usps.mat
........\weakLearner.m
Download