feature subset selection的例句大全

Fault feature subset selection is the analysis and treatment of the information which comes from the pretreatment dynamic signal, then select the data related to the system status, and handle and diagnose the data next to extract the sensitive parameters related to the system status closely.

故障特征提取就是对系统的动态信号预处理后得到的信息进行分析和处理，提取与系统状态有关的数据，再对得到的数据进行处理和分析，提取其中与系统状态相关性较大的敏感特征。

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An algorithm of feature subset selection based on genetic algorithm

基于遗传算法的特征子集选择方法

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Research on a Heuristic Algorithm of Feature Subset Selection Based on Entropy

基于信息熵的特征子集选择启发式算法的研究

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Feature Subset Selection of Information System Based on Similar Extension Matrix

基于类扩张矩阵的信息系统特征选取

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Research on the Feature Subset Selection of Complex Decision Tables

复杂决策表的特征提取方法研究

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Study on Similarity Measures for Feature Subset Selection

特征子集选取中相似性度量公式的研究

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Feature subset selection based on max mutual information and max correlation entropy

基于最大互信息最大相关熵的特征选择方法

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An algorithm for the optimal feature subset selection

一种最优特征集的选择算法

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Incremental Feature Subset Selection Algorithm Based on Extension Matrices

基于扩张矩阵的渐进式特征子集选择算法

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Optimal Feature Subset Selection Using Genetic Algorithms

最优特征子集的遗传算法求解

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Integer-programming model for learning from examples and feature subset selection based on extension matrix

示例学习与特征选择的规划模型方法

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Optimal Feature Subset Selection of Decision Tables

决策表最优特征子集的选择&基于粗集理论的启发式算法

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Research on a noise-tolerant algorithm for feature subset selection

容忍噪音的特征子集选择算法研究

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A New Entropy-Based Feature Subset Selection Algorithm

一种新的基于信息熵的属性选择算法

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The heuristic algorithm of minimal feature subset selection is proved very efficient by theoretical analysis and experiment.

通过理论分析和实验，证明了该特征选取方法的高效性。

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Optimal Feature Subset Selection for Multi-class Issue

多类问题中最优特征子集选取的研究

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To discern positive and negative example fully, feature subset selection plays a great role in learning from examples.

特征选择是示例学习的关键，直接关系到获取的概念的优劣。

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Feature Subset Selection for KDD

KDD中的特征选择

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In view of the deficiencies in traditional combination optimization method, an algorithm of feature subset selection based on genetic algorithm is proposed in this paper.

该文针对传统优化方法用于特征选择的种种缺陷，提出了基于遗传算法的特征子集选择测算法。

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BPSO-SVM Wrapper for Feature Subset Selection

基于微粒群算法和支持向量机的特征子集选择方法

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