随机森林

Objective We investigate the use of random forests for classification of gene expression data.

目的探讨随机森林算法在基因表达数据分类研究中的应用。

Also, this paper build a random forest based on SURPASS and verifies the character of random forest by doing some experiments.

本文还以SURPASS为基分类器实现了随机森林，最后通过实验验证了随机森林的性质。

Random forest package in R shows error during prediction() if there are new factor levels present in test data. Is there any way to avoid this error?

随机森林包R显示在预测误差（）如果有新因素水平出现在测试数据。有什么方法可以避免这个错误？。

Investigation of the random forest framework for classification of hyperspectral data

对于超光谱数据分类随机森林结构的调查

Application of Random Forest on Selecting Evaluation Index System for Enterprise Credit Assessment

随机森林在企业信用评估指标体系确定中的应用