Open Continual Feature Selection via Granular-Ball Knowledge Transfer

1 code implementation • 15 Mar 2024 • Xuemei Cao, Xin Yang, Shuyin Xia, Guoyin Wang, Tianrui Li

To this end, the proposed CFS method combines the strengths of continual learning (CL) with granular-ball computing (GBC), which focuses on constructing a granular-ball knowledge base to detect unknown classes and facilitate the transfer of previously learned knowledge for further feature selection.

Continual Learning feature selection +1