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Found 4 papers, 1 papers with code
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection
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.
MDL-based Compressing Sequential Rules
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.
Towards Target Sequential Rules
In this paper, we provide the relevant definitions of target sequential rule and formulate the problem of targeted sequential rule mining.
Algorithm for Adapting Cases Represented in a Tractable Description Logic
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 $\mathcal{EL_{\bot}}$.
