Robotics & Machine Learning Daily News2024,Issue(Nov.27) :29-29.

Study Findings from WU Vienna University of Economics and Business Provide New I nsights into Machine Learning (Who Will Sign a Double Tax Treaty Next? a Predict ion Based On Economic Determinants and Machine Learning Algorithms)

吴维也纳经济与商业大学的研究结果为机器学习提供了新的视角(下一步谁将签署双重征税条约?基于经济决定因素和机器学习算法的预测

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :29-29.

Study Findings from WU Vienna University of Economics and Business Provide New I nsights into Machine Learning (Who Will Sign a Double Tax Treaty Next? a Predict ion Based On Economic Determinants and Machine Learning Algorithms)

吴维也纳经济与商业大学的研究结果为机器学习提供了新的视角(下一步谁将签署双重征税条约?基于经济决定因素和机器学习算法的预测

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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新闻-机器学习的新数据在一份新报告中呈现。根据新闻报道研究指出,“双重征税条约在形成双重征税条约方面发挥着关键作用。”国际经济关系,但预测哪些国家可能签署税收条约仍然存在挑战本研究利用一种新的机器学习方法来预测税收,以解决这一差距条约的形成"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reporting outof Vienna, Austria, by NewsRx edito rs, research stated, “Double tax treaties play a crucial role in shapinginterna tional economic relations, yet predicting which country pairs are likely to sign tax treaties remainsa challenge. This study addresses this gap by employing a novel machine learning approach to predict taxtreaty formations.”

Key words

Vienna/Austria/Europe/Algorithms/Cyb orgs/Emerging Technologies/Machine Learning/WU Vienna University of Economics and Business

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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