文件名称:the_application_of_Boosting
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集成 学 习 算法通过训练多个弱学习算法并将其结论进行合成，可以显著地提
高学习系统的泛化能力。Boosting算法作为集成学习算法的主要代表算法，得到
了广泛的研究和应用，但其研究成果大部分都集中的分类问题上。-Integrated learning algorithm through the training of more than a weak learning algorithm and its conclusions synthesis, can significantly improve the generalization ability of learning systems. Boosting algorithm as the main representative of an integrated learning algorithm algorithm has been widely studied and applied, but the results of their research have focused most of the classification issues.
高学习系统的泛化能力。Boosting算法作为集成学习算法的主要代表算法，得到
了广泛的研究和应用，但其研究成果大部分都集中的分类问题上。-Integrated learning algorithm through the training of more than a weak learning algorithm and its conclusions synthesis, can significantly improve the generalization ability of learning systems. Boosting algorithm as the main representative of an integrated learning algorithm algorithm has been widely studied and applied, but the results of their research have focused most of the classification issues.
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