文件名称:Lasso
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：Lasso 是一种基于一范式的特征选择方法。与已有的特征选择方法相比较，Lasso 不仅能够准确地选择出与类标签强相
关的变量，同时还具有特征选择的稳定性，因而成为人们研究的一个热点-: Lasso is a paradigm based on a feature selection method. Compared with the existing feature selection methods, Lasso not only to accurately select a strong correlation with the class label variables, but also has the stability of feature selection, and thus become a hot research
关的变量，同时还具有特征选择的稳定性，因而成为人们研究的一个热点-: Lasso is a paradigm based on a feature selection method. Compared with the existing feature selection methods, Lasso not only to accurately select a strong correlation with the class label variables, but also has the stability of feature selection, and thus become a hot research
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一种面向高维数据的均分式Lasso特征选择方法_施万锋.pdf