文件名称:ada
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Demo of adaBoost (adaptive boosting)
Xu Cui
2009/05/12
clear
training data (1000 samples, 2 dimensions, can be seen as 1000 people, each people have 2 variable: weight and age)
data = randn(1000,2) 1000 number (x,y) 2d
label = double(data(:,1)>data(:,2)) a linear separation example
label = double((data(:,1).^2 - data(:,2).^2)<1) a nonlinear separation example
label = double((data(:,1).^2 + data(:,2).^2)<1) a nonlinear separation example- Demo of adaBoost (adaptive boosting)
Xu Cui
2009/05/12
clear
training data (1000 samples, 2 dimensions, can be seen as 1000 people, each people have 2 variable: weight and age)
data = randn(1000,2) 1000 number (x,y) 2d
label = double(data(:,1)>data(:,2)) a linear separation example
label = double((data(:,1).^2 - data(:,2).^2)<1) a nonlinear separation example
label = double((data(:,1).^2 + data(:,2).^2)<1) a nonlinear separation example
Xu Cui
2009/05/12
clear
training data (1000 samples, 2 dimensions, can be seen as 1000 people, each people have 2 variable: weight and age)
data = randn(1000,2) 1000 number (x,y) 2d
label = double(data(:,1)>data(:,2)) a linear separation example
label = double((data(:,1).^2 - data(:,2).^2)<1) a nonlinear separation example
label = double((data(:,1).^2 + data(:,2).^2)<1) a nonlinear separation example- Demo of adaBoost (adaptive boosting)
Xu Cui
2009/05/12
clear
training data (1000 samples, 2 dimensions, can be seen as 1000 people, each people have 2 variable: weight and age)
data = randn(1000,2) 1000 number (x,y) 2d
label = double(data(:,1)>data(:,2)) a linear separation example
label = double((data(:,1).^2 - data(:,2).^2)<1) a nonlinear separation example
label = double((data(:,1).^2 + data(:,2).^2)<1) a nonlinear separation example
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下载文件列表
ada.m