AdaBoost, Adaptive Boosting, is a well-known meta machine LEarning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded LEarning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
標簽：
well-known
algorithm
AdaBoost
Adaptive
上傳時間：
2014-01-15
上傳用戶：qiaoyue
