
README -------- Directory contains the following files. 1.
ADABOOST_te.m2. ADABOOST_tr.m3. demo.m4. likelihood2class.m5.
threshold_te.m6. threshold_tr.m The aim of the project is to provide a
source of themeta-learning algorithm known as AdaBoost to improvethe
performance of the user-defined classifiers. To make use of adaboost,
first two functions must berun with the appropriate parameters. The
explanationof each source file is available with "help" command. To see
how they work, run demo.m as ...