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METHODS AND APPARATUS TO IMPROVE DATA QUALITY FOR ARTIFICIAL INTELLIGENCE

机译:提高人工智能数据质量的方法和装置

摘要

Methods, apparatus, systems, and articles of manufacture to improve data quality for artificial intelligence are disclosed. An example apparatus includes an interface; instructions; and processor circuitry to execute the instruction to: determine an indirect quality of a repository that include datapoints of a dataset; determine a direct quality of the repository that include the datapoints of the dataset; determine a dataset quality based on the indirect quality of the repository and the direct quality of the repository; and when the quality does not satisfy a threshold, filter out a subset of the datapoints to prepare the dataset to support the training of the neural network.
机译:本发明公开了用于提高人工智能数据质量的方法、装置、系统和制品。示例装置包括接口;说明书以及处理器电路,用于执行以下指令:确定包含数据集的数据点的存储库的间接质量;确定包含数据集数据点的存储库的直接质量;根据存储库的间接质量和直接质量确定数据集质量;当质量不满足阈值时,过滤出数据点的子集,准备数据集以支持神经网络的训练。

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