The reason of difference is analyzed and a new method named Combined Feature Selection is put forward.

分析了产生差异的原因，并提出一种适合于中文环境的特征选取方法：组合特征选取方法。

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Aiming at the preceding problem, this paper puts forward a feature selection method using Information Gain (IG) and Principle Component (Analysis) (PCA).

针对上述问题，提出了信息增益(IG)与主成分分析(PCA)相结合的特征选择方法。

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Based on CHI value feature selection and the cover algorithm of forward neural network, realizes the automatic classification of texts after the preprocessing of the texts.

通过对前向神经网络交叉覆盖算法的分析，针对该算法的特点，文中提出了扩大覆盖半径以减少拒识样本数据的新方法。

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Now there are several feature selection methods applied to gene expression data, such as Sequential Forward Selection, GA, S2N and so on.

目前已有不少特征选取方法应用于基因表达数据，比如顺序前进法、遗传算法、信噪比指标等。

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Now there are several feature selection methods applied to gene expression data, such as Sequential Forward Selection, GA, S2N and so on.

目前已有不少特征选取方法应用于基因表达数据，比如顺序前进法、遗传算法、信噪比指标等。

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