摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据消息来源来自韩国首尔的Rx新闻记者，研究表明，“预测在20世纪90年代的生存结果”临界交流学习一直是机器学习研究的热点。本研究涉及几个方面现有方法的局限性，包括对数据不平衡的管理不足，缺乏对超参数调谐，以及过度拟合的倾向。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Seoul, South Korea, by News Rx correspondents, research stated, “Predicting survival outcomes incritical ac cidents has been a focal point in machine learning research. This study addresse s severallimitations of existing methods, including insufficient management of data imbalance, lack of emphasis onhyperparameter tuning, and proneness to over fitting.”
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