Towards Convergence Rate Analysis of Random Forests for Classification

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Towards Convergence Rate Analysis of
        Random Forests for Classification

               Wei Gao       Zhi-Hua Zhou
           National Key Laboratory for Novel Software Technology
              Nanjing University, Nanjing, 210023, China
             {gaow, zhouzh}@lamda.nju.edu.cn

                       Abstract
     Random forests have been one of the successful ensemble algorithms in machine
     learning. The basic idea is to construct a large number of random trees individually
      ...

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关键词：Convergence converge Analysis Towards Forests