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For: Jiang Z, Bian Z, Wang S. Multi-view local linear KNN classification: theoretical and experimental studies on image classification. INT J MACH LEARN CYB 2020. [DOI: 10.1007/s13042-019-00992-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Number Cited by Other Article(s)
1
Chen T, Zeng Y, Yuan H, Zhong G, Lai LL, Tang YY. Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning. INT J MACH LEARN CYB 2022. [DOI: 10.1007/s13042-022-01721-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
2
Self-paced latent embedding space learning for multi-view clustering. INT J MACH LEARN CYB 2022. [DOI: 10.1007/s13042-022-01600-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
3
Yang LH, Liu J, Wang YM, Wang H, Martínez L. Enhancing extended belief rule-based systems for classification problems using decomposition strategy and overlap function. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-021-01355-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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