1 code implementation • 2 Dec 2023 • Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang
In particular, the DTDBD consists of an unbiased teacher and a clean teacher that jointly guide the student model in mitigating domain bias and maintaining performance.
no code implementations • 20 Dec 2022 • Xinhong Chen, Wensheng Gan, Shicheng Wan, Tianlong Gu
In this paper, combined with the Minimum Description Length (MDL) principle and under the two metrics (support and confidence), we introduce the problem of compression of SRM and also propose a solution named ComSR for MDL-based compressing of sequential rules based on the designed sequential rule coding scheme.
no code implementations • 9 Jun 2022 • Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu
In this paper, we provide the relevant definitions of target sequential rule and formulate the problem of targeted sequential rule mining.
no code implementations • 16 May 2014 • Liang Chang, Uli Sattler, Tianlong Gu
Following the idea of adaptation as revision, we firstly extend the logical basis for describing cases from propositional logic to the DL $\mathcal{EL_{\bot}}$, and present a formalism for adaptation based on $\mathcal{EL_{\bot}}$.