文件名称:gentleboost
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温柔的形变模型分类器和两个不同的weak-learners决定树桩和感知。
问题是进行多层次的one-vs-all策略-Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron.
Multi-class problem is performed with the one-vs-all strategy
问题是进行多层次的one-vs-all策略-Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron.
Multi-class problem is performed with the one-vs-all strategy
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下载文件列表
NN_predict.c
auroc.m
basicroc.m
gentleboost_model.c
gentleboost_predict.c
html/
html/test_gentleboost_model.html
html/test_gentleboost_model.png
html/test_gentleboost_model_01.png
html/test_gentleboost_model_02.png
html/test_gentleboost_model_03.png
html/test_gentleboost_model_04.png
ini_proto.m
iris.mat
license.txt
mexme_gentleboost.m
sampling.m
samplingset.m
srng_model.c
svm.cpp
svm.h
svm_model_matlab.c
svm_model_matlab.h
svmpredict.c
svmtrain.c
test_gentleboost_model.m
wine.mat
auroc.m
basicroc.m
gentleboost_model.c
gentleboost_predict.c
html/
html/test_gentleboost_model.html
html/test_gentleboost_model.png
html/test_gentleboost_model_01.png
html/test_gentleboost_model_02.png
html/test_gentleboost_model_03.png
html/test_gentleboost_model_04.png
ini_proto.m
iris.mat
license.txt
mexme_gentleboost.m
sampling.m
samplingset.m
srng_model.c
svm.cpp
svm.h
svm_model_matlab.c
svm_model_matlab.h
svmpredict.c
svmtrain.c
test_gentleboost_model.m
wine.mat
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