Towards Optimization of Boosting Models for Formation Lithology Identification

Algorithm 1

AdaBoost algorithm, modified from [17].

(1)	Given , where ; the number of iterations: M
(2)	Initialize equal weights for each data item ,
(3)	For to M:(a)Fit a classifier to training data by minimizing the weighted error function (b)Compute and evaluate (c)Update the weight for each data item
(4)	Construct final model with and weak model : .