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METHODS AND SYSTEMS FOR IMPROVED MACHINE LEARNING USING SUPERVISED CLASSIFICATION OF IMBALANCED DATASETS WITH OVERLAP
METHODS AND SYSTEMS FOR IMPROVED MACHINE LEARNING USING SUPERVISED CLASSIFICATION OF IMBALANCED DATASETS WITH OVERLAP
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机译:使用重叠重叠不平衡数据集的监督分类来改进机器学习的方法和系统
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摘要
A method and system for data classification using machine learning comprises collecting a dataset with a data collection module, receiving the dataset at a classification module configured for machine learning, dividing the dataset into a plurality of vectors, transforming the plurality of vectors into a plurality of variables wherein each variable is assigned a label, and classifying the variables.
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