CN114245910A - 一种自动机器学习AutoML系统、方法及设备 - Google Patents
一种自动机器学习AutoML系统、方法及设备 Download PDFInfo
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Abstract
本申请涉及人工智能AI领域,本申请提供一种自动机器学习AutoML的方法,该方法包括:AutoML系统接收用户的任务目标和第一数据集;根据任务目标确定初始AI模型用于为用户实现其任务目标;AutoML系统根据接收的第一数据集对初始AI模型进行训练,得到已训练的AI模型;进一步地,根据第一数据集对初始AI模型的训练进行分析,获得分析结果,分析结果包括第一数据集中的至少一种类型的数据对初始AI模型的训练的影响;AutoML系统根据分析结果向用户提供对已训练的AI模型的优化方式,优化方式可以是上传第二数据集用于对已训练的AI模型进行优化。该方法根据对初始AI模型训练的分析,使得AutoML系统向用户提供的优化方式可高效地优化AI模型的预测准确率。
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PCT国内申请,说明书已公开。
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- PCT国内申请,权利要求书已公开。
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PCT/CN2019/102305 WO2021035412A1 (zh) | 2019-08-23 | 2019-08-23 | 一种自动机器学习AutoML系统、方法及设备 |
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WO2023063845A1 (ru) * | 2021-10-14 | 2023-04-20 | Общество С Ограниченной Ответственностью "Интеллоджик" | СИСТЕМА И СПОСОБ АВТОМАТИЧЕСКОГО МАШИННОГО ОБУЧЕНИЯ (AutoML) МОДЕЛЕЙ КОМПЬЮТЕРНОГО ЗРЕНИЯ ДЛЯ АНАЛИЗА БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ |
WO2023066662A1 (en) * | 2021-10-20 | 2023-04-27 | Nokia Technologies Oy | Criteria-based measurement data reporting to a machine learning training entity |
CN114528477A (zh) * | 2022-01-10 | 2022-05-24 | 华南理工大学 | 面向科研应用的自动机器学习实现方法、平台及装置 |
CN114662006B (zh) * | 2022-05-23 | 2022-09-02 | 阿里巴巴达摩院(杭州)科技有限公司 | 端云协同推荐系统、方法以及电子设备 |
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US7792353B2 (en) * | 2006-10-31 | 2010-09-07 | Hewlett-Packard Development Company, L.P. | Retraining a machine-learning classifier using re-labeled training samples |
AU2014287234A1 (en) * | 2013-07-10 | 2016-02-25 | Daniel M. Rice | Consistent ordinal reduced error logistic regression machine |
CN106033425A (zh) * | 2015-03-11 | 2016-10-19 | 富士通株式会社 | 数据处理设备和数据处理方法 |
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