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.
138 related articles for article (PubMed ID: 24808002)
1. Reproducing kernel Hilbert spaces with odd kernels in price prediction. Krejník M; Tyutin A IEEE Trans Neural Netw Learn Syst; 2012 Oct; 23(10):1564-73. PubMed ID: 24808002 [TBL] [Abstract][Full Text] [Related]
2. Model averaging for genome-enabled prediction with reproducing kernel Hilbert spaces: a case study with pig litter size and wheat yield. Tusell L; Pérez-Rodríguez P; Forni S; Gianola D J Anim Breed Genet; 2014 Apr; 131(2):105-15. PubMed ID: 24397267 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. Jayasumana S; Hartley R; Salzmann M; Li H; Harandi M IEEE Trans Pattern Anal Mach Intell; 2015 Dec; 37(12):2464-77. PubMed ID: 26539851 [TBL] [Abstract][Full Text] [Related]
5. On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint. Zhang C; Liu Y; Wu Y J Mach Learn Res; 2016 Apr; 17(40):1-45. PubMed ID: 27134575 [TBL] [Abstract][Full Text] [Related]
7. Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space. Cheng CA; Huang HP; Hsu HK; Lai WZ; Cheng CC IEEE Trans Cybern; 2016 Jul; 46(7):1691-703. PubMed ID: 26316286 [TBL] [Abstract][Full Text] [Related]
8. Out-of-Sample Extensions for Non-Parametric Kernel Methods. Pan B; Chen WS; Chen B; Xu C; Lai J IEEE Trans Neural Netw Learn Syst; 2017 Feb; 28(2):334-345. PubMed ID: 26742150 [TBL] [Abstract][Full Text] [Related]
9. Generalization Performance of Regularized Ranking With Multiscale Kernels. Zhou Y; Chen H; Lan R; Pan Z IEEE Trans Neural Netw Learn Syst; 2016 May; 27(5):993-1002. PubMed ID: 26058058 [TBL] [Abstract][Full Text] [Related]
10. A reproducing kernel Hilbert space framework for spike train signal processing. Paiva AR; Park I; Príncipe JC Neural Comput; 2009 Feb; 21(2):424-49. PubMed ID: 19431265 [TBL] [Abstract][Full Text] [Related]
11. Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint. Wang H; Li Q; Liu Y Stat; 2023; 12(1):. PubMed ID: 38037648 [TBL] [Abstract][Full Text] [Related]
12. Least square regularized regression in sum space. Xu YL; Chen DR; Li HX; Liu L IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):635-46. PubMed ID: 24808383 [TBL] [Abstract][Full Text] [Related]
13. Reproducing Kernel Hilbert spaces for wave optics: tutorial. Gori F; Martínez-Herrero R J Opt Soc Am A Opt Image Sci Vis; 2021 May; 38(5):737-748. PubMed ID: 33983279 [TBL] [Abstract][Full Text] [Related]
14. Structured functional additive regression in reproducing kernel Hilbert spaces. Zhu H; Yao F; Zhang HH J R Stat Soc Series B Stat Methodol; 2014 Jun; 76(3):581-603. PubMed ID: 25013362 [TBL] [Abstract][Full Text] [Related]
15. Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning. Xu YL; Li XX; Chen DR; Li HX IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5408-5418. PubMed ID: 29994740 [TBL] [Abstract][Full Text] [Related]
16. Learning with boundary conditions. Gnecco G; Gori M; Sanguineti M Neural Comput; 2013 Apr; 25(4):1029-106. PubMed ID: 23339616 [TBL] [Abstract][Full Text] [Related]