These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
124 related articles for article (PubMed ID: 29430027)
1. Principal weighted support vector machines for sufficient dimension reduction in binary classification. Shin SJ; Wu Y; Zhang HH; Liu Y Biometrika; 2017 Mar; 104(1):67-81. PubMed ID: 29430027 [TBL] [Abstract][Full Text] [Related]
2. Probability-enhanced sufficient dimension reduction for binary classification. Shin SJ; Wu Y; Zhang HH; Liu Y Biometrics; 2014 Sep; 70(3):546-55. PubMed ID: 24779683 [TBL] [Abstract][Full Text] [Related]
3. Reinforced Angle-based Multicategory Support Vector Machines. Zhang C; Liu Y; Wang J; Zhu H J Comput Graph Stat; 2016; 25(3):806-825. PubMed ID: 27891045 [TBL] [Abstract][Full Text] [Related]
4. Sufficient dimension reduction for classification using principal optimal transport direction. Meng C; Yu J; Zhang J; Ma P; Zhong W Adv Neural Inf Process Syst; 2020 Dec; 33():4015-4028. PubMed ID: 38737390 [TBL] [Abstract][Full Text] [Related]
5. Robust Multicategory Support Vector Machines using Difference Convex Algorithm. Zhang C; Pham M; Fu S; Liu Y Math Program; 2018 May; 169(1):277-305. PubMed ID: 29736090 [TBL] [Abstract][Full Text] [Related]
6. A novel dimension reduction algorithm based on weighted kernel principal analysis for gene expression data. Liu WB; Liang SN; Qin XW PLoS One; 2021; 16(10):e0258326. PubMed ID: 34644329 [TBL] [Abstract][Full Text] [Related]
7. Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces. Chen L; Zhang H Neural Comput; 2017 Nov; 29(11):3078-3093. PubMed ID: 28957025 [TBL] [Abstract][Full Text] [Related]
8. Gene expression data classification with Kernel principal component analysis. Liu Z; Chen D; Bensmail H J Biomed Biotechnol; 2005 Jun; 2005(2):155-9. PubMed ID: 16046821 [TBL] [Abstract][Full Text] [Related]
9. Nonlinear sufficient dimension reduction for distribution-on-distribution regression. Zhang Q; Li B; Xue L J Multivar Anal; 2024 Jul; 202():. PubMed ID: 38525479 [TBL] [Abstract][Full Text] [Related]
10. A distance-based kernel for classification via Support Vector Machines. Amaya-Tejera N; Gamarra M; Vélez JI; Zurek E Front Artif Intell; 2024; 7():1287875. PubMed ID: 38469159 [TBL] [Abstract][Full Text] [Related]
11. FUNCTIONAL SUFFICIENT DIMENSION REDUCTION THROUGH AVERAGE FRÉCHET DERIVATIVES. Lee KY; Li L Ann Stat; 2022 Apr; 50(2):904-929. PubMed ID: 37041758 [TBL] [Abstract][Full Text] [Related]
12. A novel kernel-based maximum a posteriori classification method. Xu Z; Huang K; Zhu J; King I; Lyu MR Neural Netw; 2009 Sep; 22(7):977-87. PubMed ID: 19167865 [TBL] [Abstract][Full Text] [Related]
13. Bayesian Approximate Kernel Regression with Variable Selection. Crawford L; Wood KC; Zhou X; Mukherjee S J Am Stat Assoc; 2018; 113(524):1710-1721. PubMed ID: 30799887 [TBL] [Abstract][Full Text] [Related]
14. Complex support vector machines for regression and quaternary classification. Bouboulis P; Theodoridis S; Mavroforakis C; Evaggelatou-Dalla L IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1260-74. PubMed ID: 25095266 [TBL] [Abstract][Full Text] [Related]
18. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. Pochet N; De Smet F; Suykens JA; De Moor BL Bioinformatics; 2004 Nov; 20(17):3185-95. PubMed ID: 15231531 [TBL] [Abstract][Full Text] [Related]
19. A unified classification model based on robust optimization. Takeda A; Mitsugi H; Kanamori T Neural Comput; 2013 Mar; 25(3):759-804. PubMed ID: 23272917 [TBL] [Abstract][Full Text] [Related]