Research Article
Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification
| Input: sample distribution D; | | Base learning algorithm £; | | Number of base learners T. | | Process: | (1) | % Initialize distribution | (2) | for t = 1, … , T: | (3) | ; % Train a weak learner from distribution | (4) | ; % Evaluate the error of | (5) | = Adjust_Distribution () | (6) | end | | Output: = Combine_Outputs |
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