A logitboost implementation in matlab

The following Matlab project contains the source code and Matlab examples used for a logitboost implementation. Codes for the the so-called AOSO-LogitBoost, which is an up-to-date (yet state-of-the-art, probably ) implementation of Friedman's LogitBoost for multi-class classification.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
AOSOLogitBoost.m 1457
batch_AOSOLogitBoost.m 376
batch_boost_basic.m 3984
optdigits.mat 235284
pendigits.mat 238901
main_run.m 1123
main_run_files.m 675
AOSOLogitBoost_delete.cpp 453
AOSOLogitBoost_get.cpp 688
AOSOLogitBoost_predict.cpp 744
AOSOLogitBoost_train.cpp 1045
AOSOLogitBoost.cpp 19797
AOSOLogitBoost.hpp 5260
MLData.cpp 2619
MLData.hpp 1058
main.cpp 1628
test_AOSOLogitBoost.sln 910
test_AOSOLogitBoost.vcproj 4276
make_AOSOLogitBoost.m 144
make_AOSOLogitBoost_delete.m 621
make_AOSOLogitBoost_get.m 618
make_AOSOLogitBoost_predict.m 622
make_AOSOLogitBoost_train.m 620
settings.m 502
utilCPP.cpp 1009
utilCPP.h 432
readme.txt 176
readme.txt 1410
readme2.txt 694
T3_v1.0e-001_J14_ns1.mat 443
T3_v1.0e-001_J20_ns1.mat 442
T3_v8.0e-002_J14_ns1.mat 443
T3_v8.0e-002_J20_ns1.mat 442
T3_v1.0e-001_J14_ns1.mat 443
T3_v1.0e-001_J20_ns1.mat 445
T3_v8.0e-002_J14_ns1.mat 443
T3_v8.0e-002_J20_ns1.mat 444
license.txt 1308

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