The Application of the AdaBoost Algorithm in the Text Classification

机译：AdaBoost算法在文本分类中的应用

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摘要

Boosting is a representative combined predictive method for improving learning accuracy in machine learning. AdaBoost algorithm is the most typical one in the Boosting family. This paper briefly introduced the AdaBoost algorithm, analyzed and discussed the application of AdaBoost. OC and AdaBoost. MO algorithm as solving the single label problem, and finally discussed and analyzed the AdaBoost. R algorithm to solve a regression problem.

机译：提升是一种代表性的组合预测方法，用于提高机器学习中的学习准确性。 AdaBoost算法是Boosting系列中最典型的算法。本文简要介绍了AdaBoost算法，分析并讨论了AdaBoost的应用。 OC和AdaBoost。 MO算法作为解决单标签问题的工具，最后讨论并分析了AdaBoost。 R算法解决了回归问题。

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《IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference》|2018年|1792-1796|共5页
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TU Chengsheng; XU Bing; LIU Huacheng;
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关键词
Classification algorithms; Prediction algorithms; Boosting; Training; Machine learning algorithms; Loss measurement; Image color analysis;

机译：分类算法;预测算法;提升;训练;机器学习算法;损耗测量;图像色彩分析;

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The Application of the AdaBoost Algorithm in the Text Classification

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