Mar 1, 2018 · We develop an algorithm called Online Multi-label Group Feature Selection (OMGFS). Our proposed method consists of two-phase: online group selection and online ...

Jul 17, 2023 · We present a novel online streaming feature selection method based on label group correlation and feature interaction (OSLGC).

Mar 1, 2018 · In this paper, we presented a novel framework with group structure analysis to deal with Online Multi-label Group Feature Selection. In ...

In this paper, we focus on multi-label online streaming feature selection (OSFS) problem, whose features arrive sequentially over time, and instances and labels ...

A novel online streaming feature selection method based on label group correlation and feature interaction (OSLGC) is presented, which outperforms some ...

Oct 22, 2024 · In our design, we first divide labels into multiple groups with the help of graph theory. Then, we integrate label weight and mutual information ...

A novel online streaming feature selection method based on label group correlation and feature interaction (OSLGC) is presented, which outperforms some ...

We propose a new feature selection framework, which solves online streaming feature selection and multi-label feature selection simultaneously. •. The ...

Oct 8, 2022 · This paper proposed a multi-label feature selection based on conditional mutual information among labels (CRMIL).

May 1, 2024 · Online feature selection for streaming data has attracted much attention in the field of multi-label learning. Most of the existing online ...