Titlebook: Machine Learning Methods; Hang Li Textbook 2024 Tsinghua University Press 2024 Machine Learning.Statistical Learning.Supervised Learning.U

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Boosting,ove learning accuracy through training error analysis, then interprets AdaBoost from the perspective of the forward stepwise addition model, and finally describes more specific examples of the lifting method—Boosting tree.

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Textbook 2024arning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, l

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Boosting,ove learning accuracy through training error analysis, then interprets AdaBoost from the perspective of the forward stepwise addition model, and finally describes more specific examples of the lifting method—Boosting tree.