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