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-一项关于机器学习的新研究现在可用。根据新闻报道由News Rx记者发起于佐治亚州亚特兰大，研究称，“构建了合成数据集”从正式的局域网允许细粒度的检查学习和泛化能力序列分类的机器学习系统。本文提出了一种新的机器测试基准序列分类CAL LED MLRegTest学习系统，包括培训、开发和1800 Re Gular语言的测试集"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Atlanta, Georgia, by News Rx journalists, research stated, “Synthetic datasets constructedfrom formal lan guages allow fine-grained examination of the learning and generalization capabil ities ofmachine learning systems for sequence classification. This article pres ents a new benchmark for machinelearning systems on sequence classification cal led MLRegTest, which contains training, development, andtest sets from 1,800 re gular languages.”
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