Boosting is a general method for improving the accuracy of any given

learning algorithm. Focusing primarily on the AdaBoost algorithm, this

chapter overviews some of the recent work on boosting including analyses

of AdaBoost’s training error and generalization error boosting’s connection

to game theory and linear programming the relationship between boosting

and logistic regression extensions of AdaBoost for multiclass classification

problems methods of incorporating human knowledge into boosting and

experimental and applied work using boosting.-Boosting is a general method for improving the accuracy of any given

learning algorithm. Focusing primarily on the AdaBoost algorithm, this

chapter overviews some of the recent work on boosting including analyses

of AdaBoost’s training error and generalization error　boosting’s connection

to game theory and linear programming　the relationship between boosting

and logistic regression　extensions of AdaBoost for multiclass classification

problems　methods of incorporating human knowledge into boosting　and

experimental and applied work using boosting.