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Failure feedback system for enhancing machine learning accuracy by synthetic data generation

机译:故障反馈系统,通过合成数据生成来提高机器学习的准确性

摘要

An exemplary system, method, and computer-accessible medium can include, for example, (a) receiving a dataset(s), (b) determining if a misclassification(s) is generated during a training of a model(s) on the dataset(s), (c) generating a synthetic dataset(s) based on the misclassification(s), and (d) determining if the misclassification(s) is generated during the training of the model(s) on the synthetic dataset(s). The dataset(s) can include a plurality of data types. The misclassification(s) can be determined by determining if one of the data types is misclassified. The dataset(s) can include an identification of each of the data types in the dataset(s).
机译:示例性系统,方法和计算机可访问介质可以包括,例如,(a)接收数据集,(b)确定在训练模型上是否产生了错误分类。 (c)根据错误分类生成综合数据集,以及(d)确定在对综合数据集进行模型训练时是否生成了错误分类( s)。数据集可以包括多种数据类型。可以通过确定数据类型之一是否被错误分类来确定错误分类。数据集可以包括数据集中的每个数据类型的标识。

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