首页> 外文期刊>Robotics & Machine Learning Daily News >Georgetown University Reports Findings in Machine Learning (Development and Assessment of a Social Media-Based Construct of Firearm Ownership: Computational Derivation and Benchmark Comparison)
【24h】

Georgetown University Reports Findings in Machine Learning (Development and Assessment of a Social Media-Based Construct of Firearm Ownership: Computational Derivation and Benchmark Comparison)

机译:Georgetown University Reports Findings in Machine Learning (Development and Assessment of a Social Media-Based Construct of Firearm Ownership: Computational Derivation and Benchmark Comparison)

获取原文
获取原文并翻译 | 示例
       

摘要

By a News Reporter-Staff News Editor at Robotics Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Washington, District of Columbia, by NewsRx journalists, research stated, “Gun violenceresearch is characterized by a dearth of data available for measuring key constructs. Social media datamay offer a potential opportunity to significantly reduce that gap, but developing methods for derivingfirearms-related constructs from social media data and understanding the measurement properties of suchconstructs are critical precursors to their broader use.”

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号