Robotics & Machine Learning Daily News2024,Issue(Jun.10) :29-30.

Northeastern University Researcher Updates Current Data on Machine Learning (A K nowledge-Guided Competitive Co-Evolutionary Algorithm for Feature Selection)

东北大学研究人员更新了机器学习的最新数据(一种K nowledge引导的特征选择竞争协同进化算法)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :29-30.

Northeastern University Researcher Updates Current Data on Machine Learning (A K nowledge-Guided Competitive Co-Evolutionary Algorithm for Feature Selection)

东北大学研究人员更新了机器学习的最新数据(一种K nowledge引导的特征选择竞争协同进化算法)

扫码查看

摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于人工智能的详细数据已经呈现出来。根据NewsRx编辑在中国沈阳的新闻报道,研究表明:“在现实应用中,特征选择对于提高数据科学和机器学习模型的性能至关重要。”本研究的资金来源包括国家自然科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on artificial intelligence have bee n presented. According to news reporting out of Shenyang, People’s Republic of C hina, by NewsRx editors, research stated, “In real-world applications, feature s election is crucial for enhancing the performance of data science and machine le arning models.” Financial supporters for this research include Fund For The National Natural Sci ence Foundation of China.

Key words

Northeastern University/Shenyang/Peopl e’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Evoluti onary Algorithm/Machine Learning/Mathematics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文