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METHODS AND APPARATUS FOR INTEGRATION SYSTEMATIC thinning out the data based on genetic algorithm for selecting the subset of features
METHODS AND APPARATUS FOR INTEGRATION SYSTEMATIC thinning out the data based on genetic algorithm for selecting the subset of features
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机译:集成系统基于特征选择子集的遗传算法对数据进行稀疏的方法和装置
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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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