Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification

Algorithm 3

AdaBoost algorithm.

	Input: dataset ;
	Base learning algorithm £;
	Number of base learners T.
	Process:
(1)	. % Initialize the weight distribution
(2)	for t = 1, … , T:
(3)	; % Train a classifier from D under distribution
(4)	; % Evaluate the error of
(5)
(6)	; % Determine the weight oh
(7)
	where % Update the distribution, % is a normalization factor which % enables to be a distribution
(8)	end
	Output: