The Spider Objects

 
 
 
 
   ADABOOST object   
 


 
    ADABOOST
    
    
   A=ADABOOST(H) implements basic boosting algorithm using max_margin linear hyperplanes. 
  
  
   Hyperparameters, and their defaults
   kmax = 5                -- maximum number of weak learners
  
   Methods:
    train, test
  
   Model:
    child                  -- hyperplanes  
   Example:
  
     Use adaboost with 1-knn as weak learner and validate with 2 fold cross validation.
   c1=[2,0];
   c2=[-2,0];
   X1=randn(50,2)+repmat(c1,50,1);
   X2=randn(50,2)+repmat(c2,50,1);
   
   [r,a]=train(cv(adaboost(knn),'folds=2'),d);
  

Reference : The boosting approach to machine learning: An overview

Author : Robert E. Schapire

Link : http://www.cs.princeton.edu/~schapire/uncompress-papers.cgi/msri.ps

There is more than one adaboost available. See also help adaboost/adaboost.m