首页|Data from Nanjing University of Posts and Telecommunications Provide New Insight s into Machine Learning (Textual Features of Peer Review Predict Top-cited Paper s: an Interpretable Machine Learning Perspective)
Data from Nanjing University of Posts and Telecommunications Provide New Insight s into Machine Learning (Textual Features of Peer Review Predict Top-cited Paper s: an Interpretable Machine Learning Perspective)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Nanjing, People’s Re public of China, by NewsRx editors, the research stated, “Peer reviewis crucial in improving the quality and reliability of scientific research. However, the m echanisms throughwhich peer review practices ensure papers become top-cited pap ers (TCPs) after publication are not wellunderstood.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University of Posts and Telecommunications
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