Dataset Groups Activity Stream Dual-sparse Regularized Randomized Reduction The paper proposes dual-sparse regularized randomized reduction methods for classification. The dataset used in the paper is the RCV1-binary dataset. BibTex: @dataset{Tianbao_Yang_and_Lijun_Zhang_and_Rong_Jin_and_Shenghuo_Zhu_2024, abstract = {The paper proposes dual-sparse regularized randomized reduction methods for classification. The dataset used in the paper is the RCV1-binary dataset.}, author = {Tianbao Yang and Lijun Zhang and Rong Jin and Shenghuo Zhu}, doi = {10.57702/hhn2pr06}, institution = {No Organization}, keyword = {'dual-sparse regularization', 'randomized reduction', 'text classification'}, month = {dec}, publisher = {TIB}, title = {Dual-sparse Regularized Randomized Reduction}, url = {https://service.tib.eu/ldmservice/dataset/dual-sparse-regularized-randomized-reduction}, year = {2024} }