Robotics & Machine Learning Daily News2024,Issue(Jun.20) :47-48.

Studies from College of Computer Science and Technology Have Provided New Data o n Machine Learning (Software Defect Prediction Using Deep Q-Learning Network-Bas ed Feature Extraction)

计算机科学与技术学院的研究为机器学习(基于深度q学习网络的软件缺陷预测)提供了新的数据

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :47-48.

Studies from College of Computer Science and Technology Have Provided New Data o n Machine Learning (Software Defect Prediction Using Deep Q-Learning Network-Bas ed Feature Extraction)

计算机科学与技术学院的研究为机器学习(基于深度q学习网络的软件缺陷预测)提供了新的数据

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布了关于人工智能的新报告。根据NewsRx Corporters在计算机科学与技术学院的新闻报道,研究表明:“基于机器学习的软件缺陷预测(SDP)方法被提出只是为了帮助提供高质量的软件,不幸的是,所有在没有有效特征约简的情况下进行的研究都受到高维数据的影响,导致预测性能指标不能令人满意。”本研究的资金来源包括国家重点研究开发项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting originating from the College of Computer Science and Technology by NewsRx correspondents, research stated, "M achine learning-based software defect prediction (SDP) approaches have been comm only proposed to help to deliver high-quality software. Unfortunately, all the p revious research conducted without effective feature reduction suffers from high -dimensional data, leading to unsatisfactory prediction performance measures." Financial supporters for this research include National Key Research And Develop ment Program of China.

Key words

College of Computer Science and Technolo gy/Cyborgs/Emerging Technologies/Machine Learning/Software

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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