abroad to prepare a very good based on Matlab Adaboost learning algorithm tool kit.

@crossvalidation
................\CatFold.m
................\crossvalidation.m
................\GetFold.m
................\Initialize.asv
................\Initialize.m
@stump_w
........\calc_output.m
........\do_learn_nu.m
........\get_threshold_and_dim.m
........\stump_w.m
@tree_node_w
............\calc_output.asv
............\calc_output.m
............\do_learn_nu.asv
............\do_learn_nu.m
............\get_dim_and_tr.asv
............\get_dim_and_tr.m
............\train.asv
............\train.m
............\tree_node_w.m
C++
...\BoostedCommittee.cpp
...\BoostedCommittee.h
...\Example
...\.......\Example.cpp
...\.......\Example.dsp
...\.......\Example.dsw
...\.......\ReadMe.txt
...\.......\RealBoost.txt
...\.......\StdAfx.cpp
...\.......\StdAfx.h
...\IWeakHypothesis.h
...\SPHypothesis.cpp
...\SPHypothesis.h
Classify.m
Diabetes.txt
Example_1.m
Example_2.m
Example_3.m
GentleAdaBoost.m
License.txt
Manual.pdf
ModestAdaBoost.m
ReadMe.txt
RealAdaBoost.m
TrainAndSave.m
TranslateToC.m

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