首页> 外国专利> ELECTRONIC DEVICE AND LEARNING METHOD FOR LEARNING OF LOW COMPLEXITY ARTIFICIAL INTELLIGENCE MODEL BASED ON SELECTING DYNAMIC PREDICTION CONFIDENCE THRESHOLD

ELECTRONIC DEVICE AND LEARNING METHOD FOR LEARNING OF LOW COMPLEXITY ARTIFICIAL INTELLIGENCE MODEL BASED ON SELECTING DYNAMIC PREDICTION CONFIDENCE THRESHOLD

机译：基于选择动态预测置信阈值的低复杂性人工智能模型的电子设备和学习方法

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摘要

The present invention is related to the electronic device and learning method for learning of low complexity artificial intelligence model based on selecting dynamic prediction confidence threshold.

机译：本发明涉及基于选择动态预测置信阈值的低复杂性人工智能模型的电子设备和学习方法。

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公开/公告号US2022019891A1

专利类型
公开/公告日2022-01-20

原文格式PDF
申请/专利权人 KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION;
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申请/专利号US202117372701
发明设计人 JONG SUN PARK;DONG YEOB SHIN;GEON HO KIM;JOONG HO JO;
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申请日2021-07-12
分类号G06N3/08;G06K9/62;
国家 US
入库时间 2022-08-24 23:24:13

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