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Methods and apparatus to integrate systematic data scaling into genetic algorithm-based feature subset selection
Methods and apparatus to integrate systematic data scaling into genetic algorithm-based feature subset selection
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机译：将系统数据缩放集成到基于遗传算法的特征子集选择中的方法和装置
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摘要
Methods and apparatus for training a system for developing a process of data mining, false positive reduction, computer-aided detection, computer-aided diagnosis and artificial intelligence are provided. A method includes choosing a training set from a set of training cases using systematic data scaling and creating a classifier based on the training set using a classification method. The classifier yields fewer false positives. The method is suitable for use with a variety of data mining techniques including support vector machines, neural networks and decision trees.
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