Robotics & Machine Learning Daily News2024,Issue(Jun.17) :147-151.

Patent Application Titled 'Training A Classification Model Using Labeled Training Data That Does Not Overlap With Target Classifications For The Classification Model' Published Online (USPTO 20240176852)

在线公布的名为“使用标记的训练数据训练分类模型,该训练数据与分类模型的目标分类不重叠”的专利申请(USPTO 20240176852)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :147-151.

Patent Application Titled 'Training A Classification Model Using Labeled Training Data That Does Not Overlap With Target Classifications For The Classification Model' Published Online (USPTO 20240176852)

在线公布的名为“使用标记的训练数据训练分类模型,该训练数据与分类模型的目标分类不重叠”的专利申请(USPTO 20240176852)

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摘要

报告者从发明人提供的背景信息中获得了以下引文:“本公开内容一般涉及训练分类模型,更具体地说涉及使用具有与分类模型输出的类别不重叠的标签的现有训练数据训练分类模型。”

Abstract

Reporters obtained the following quote from the background information supplied by the inventors: “This disclosure relates generally to training a classification model, and more specifically to training the classification model using existing training data with labels that do not overlap with classes to be output by the classification model.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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