1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2020★ 1 cited
Combination of interval-valued belief structures based on belief entropy
Miao Qin, Yongchuan Tang
This paper investigates the issues of combination and normalization of interval-valued belief structures within the framework of Dempster-Shafer theory of evidence. Existing approa…
cs.AI2020★ 1 cited
A new approach for generation of generalized basic probability assignment in the evidence theory
Dongdong Wu, Zijing Liu, Yongchuan Tang
The process of information fusion needs to deal with a large number of uncertain information with multi-source, heterogeneity, inaccuracy, unreliability, and incompleteness. In pra…
cs.LG2018
Unsupervised Disentangled Representation Learning with Analogical Relations
Zejian Li, Yongchuan Tang, Yongxing He
Learning the disentangled representation of interpretable generative factors of data is one of the foundations to allow artificial intelligence to think like people. In this paper,…