An additive model constructed using the exponential loss function L(y, f (x))=exp(yf (x))gives   Adaboost. How can we derive the corresponding additive model (known as logitboost) using the logistic loss function L(y, f (x)) = log(1 + exp(yf (x))).What steps I should take to do the above proof?
Derive logitboost using the logistic loss function
machine learning;convex optimization