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Zhenhao Huang1, Guoxu Zhou2, Yuning Qiu3
1School of Automation, Guangdong University of Technology, Guangzhou, 510006, China; RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan; Key Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education, Guangzhou, 510006, China.
本研究引入了一种新的基于变异推理的核心贝叶斯张量环 (VKBTR) 方法,用于张量完成. VKBTR有效地利用侧信息和数据属性,以显著提高完成性能.
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