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 PDF

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CN114245910A
CN114245910A CN201980099020.XA CN201980099020A CN114245910A CN 114245910 A CN114245910 A CN 114245910A CN 201980099020 A CN201980099020 A CN 201980099020A CN 114245910 A CN114245910 A CN 114245910A
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徐宇啸
高瑞阳
郭兴泽
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Huawei Technologies Co Ltd
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    • G06V10/778Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7792Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being an automated module, e.g. "intelligent oracle"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
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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。

Claims (21)

  1. PCT国内申请,权利要求书已公开。
CN201980099020.XA 2019-08-23 2019-08-23 一种自动机器学习AutoML系统、方法及设备 Pending CN114245910A (zh)

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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
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