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On Truth Finding in Multi-agent Networks

发布日期:2019-12-20     作者:人工智能学院      编辑:桑宇琦     点击:

报告题目:On Truth Finding in Multi-agent Networks

报 告 人:杨杰龙 博士

报告时间:2019年12月23日 上午10:00

报告地点:人工智能学院 中心校区行政楼601

报告摘要:Aproblem named “truth finding” will be discussed in this talk. In this problem, an event is a phenomenon of interest and our goal is to infer the states of events (e.g., articles, movies, and signals) through biased observations of multiple agents (e.g., sensors and individuals) in a network. The local bias of each agent is unknown and affects the agent's observation of the event true states. The following three cases of the problem will be discussed: each sequence of events are temporally correlated, agents are nodes of a social network, and the observation of each event is a graph signal.

报告人简介:Jielong Yang received the B.Eng. and M.Sc. degree in Mechanical Engineering from Xi'an Jiaotong University in 2012 and 2014, respectively. He is currently a Ph.D. candidate at the School of Electrical and Electronic Engineering, Nanyang Technological University. His research interests include Bayesian networks and Graph neural networks.

主办单位:吉林大学人工智能学院

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