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Boosting Algorithms and Weak Learner Aggregation: Theoretical Foundation of AdaBoost and Exponential Loss Minimisation

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In supervised machine learning, building highly accurate predictive models often requires combining multiple simple models rather than relying on a single complex one. Boosting...
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