An unsupervised Bayesian neural network for truth discovery in social networks

• المؤلفون الرئيسيون: Yang, Jielong, Tay, Wee Peng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Truth Discovery; Unsupervised Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153704

The problem of estimating event truths from conflicting agent opinions in a social network is investigated. An autoencoder learns the complex relationships between event truths, agent reliabilities and agent observations. A Bayesian network model is proposed to guide the learning process by modeling...