CN113692589A - 分类模型训练方法、装置和计算机可读介质 - Google Patents

分类模型训练方法、装置和计算机可读介质 Download PDF

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CN113692589A
CN113692589A CN201980095070.0A CN201980095070A CN113692589A CN 113692589 A CN113692589 A CN 113692589A CN 201980095070 A CN201980095070 A CN 201980095070A CN 113692589 A CN113692589 A CN 113692589A
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data set
training
training data
samples
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周林飞
吴超华
丹尼尔·施内加斯
田鹏伟
李聪超
吴文超
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Siemens Ltd China
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Siemens Ltd China
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition

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  • Data Mining & Analysis (AREA)
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  • Bioinformatics & Computational Biology (AREA)
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Abstract

一种分类模型训练方法、装置和计算机可读介质，该分类模型训练方法包括：获取第一训练数据(101)；判断第一训练数据是否均衡(102)；如果第一训练数据不均衡，则向用户发送交互请求(103)；接收用户响应于交互请求的均衡化处理指令(104)，其中，均衡化处理指令包括至少一个数据集标识，每一个数据集标识用于标识第一训练数据中导致第一训练数据不均衡的一个第一数据集；根据均衡化处理指令，分别针对每一个数据集标识所标识的第一数据集对第一训练数据进行均衡化处理，获得第二训练数据(105)；利用第二训练数据训练与目标设备相对应的分类模型(106)。该方法能够提高所训练出的分类模型的分类准确率。

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PCT国内申请，说明书已公开。

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  1. PCT国内申请，权利要求书已公开。
CN201980095070.0A 2019-04-29 2019-04-29 分类模型训练方法、装置和计算机可读介质 Pending CN113692589A (zh)

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PCT/CN2019/085054 WO2020220220A1 (zh) 2019-04-29 2019-04-29 分类模型训练方法、装置和计算机可读介质

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CN115131631A (zh) * 2022-07-28 2022-09-30 广州广电运通金融电子股份有限公司 图像识别模型训练方法、装置、计算机设备和存储介质
CN117113929B (zh) * 2023-09-08 2024-06-21 中电金信数字科技集团有限公司 一种字段数据拆分方法、装置、电子设备及存储介质

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US8140450B2 (en) * 2009-03-27 2012-03-20 Mitsubishi Electric Research Laboratories, Inc. Active learning method for multi-class classifiers
CN103593470B (zh) * 2013-11-29 2016-05-18 河南大学 一种双度集成的不均衡数据流分类算法
CN105760889A (zh) * 2016-03-01 2016-07-13 中国科学技术大学 一种高效的不均衡数据集分类方法
CN107305640A (zh) * 2016-04-25 2017-10-31 中国科学院声学研究所 一种不均衡数据分类的方法
CN108764366A (zh) * 2018-06-07 2018-11-06 南京信息职业技术学院 针对非均衡数据的特征选择和聚类抽样集成二分类方法

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