disagreement cotraining

Yang, Zaoli, Zhang, Weijian, Han, Chunjia, Li, Yuchen, Yang, Mu and Ieromonachou, Petros ORCID: 0000-0002-5842-9585 (2022) A semisupervised classification algorithm combining noise learning theory and a disagreement cotraining framework. Information Sciences, 622. pp. 889-902. ISSN 0020-0255 (doi:https://doi.org/10.1016/j.ins.2022.11.115)

feature argument and select algorithm

Yang, Zaoli, Zhang, Weijian, Han, Chunjia, Li, Yuchen, Yang, Mu and Ieromonachou, Petros ORCID: 0000-0002-5842-9585 (2022) A semisupervised classification algorithm combining noise learning theory and a disagreement cotraining framework. Information Sciences, 622. pp. 889-902. ISSN 0020-0255 (doi:https://doi.org/10.1016/j.ins.2022.11.115)

L1 penalized logistics regression algorithm

Yang, Zaoli, Zhang, Weijian, Han, Chunjia, Li, Yuchen, Yang, Mu and Ieromonachou, Petros ORCID: 0000-0002-5842-9585 (2022) A semisupervised classification algorithm combining noise learning theory and a disagreement cotraining framework. Information Sciences, 622. pp. 889-902. ISSN 0020-0255 (doi:https://doi.org/10.1016/j.ins.2022.11.115)

noise learning theory

Yang, Zaoli, Zhang, Weijian, Han, Chunjia, Li, Yuchen, Yang, Mu and Ieromonachou, Petros ORCID: 0000-0002-5842-9585 (2022) A semisupervised classification algorithm combining noise learning theory and a disagreement cotraining framework. Information Sciences, 622. pp. 889-902. ISSN 0020-0255 (doi:https://doi.org/10.1016/j.ins.2022.11.115)

semisupervised classification

Yang, Zaoli, Zhang, Weijian, Han, Chunjia, Li, Yuchen, Yang, Mu and Ieromonachou, Petros ORCID: 0000-0002-5842-9585 (2022) A semisupervised classification algorithm combining noise learning theory and a disagreement cotraining framework. Information Sciences, 622. pp. 889-902. ISSN 0020-0255 (doi:https://doi.org/10.1016/j.ins.2022.11.115)