BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 29994740)

  • 1. 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]  

  • 2. 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]  

  • 3. Comparing fixed and variable-width Gaussian networks.
    Kůrková V; Kainen PC
    Neural Netw; 2014 Sep; 57():23-8. PubMed ID: 24892273
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Generalization performance of Gaussian kernels SVMC based on Markov sampling.
    Xu J; Tang YY; Zou B; Xu Z; Li L; Lu Y
    Neural Netw; 2014 May; 53():40-51. PubMed ID: 24531039
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Online Pairwise Learning Algorithms.
    Ying Y; Zhou DX
    Neural Comput; 2016 Apr; 28(4):743-77. PubMed ID: 26890352
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models.
    Cuevas J; Crossa J; Soberanis V; Pérez-Elizalde S; Pérez-Rodríguez P; Campos GL; Montesinos-López OA; Burgueño J
    Plant Genome; 2016 Nov; 9(3):. PubMed ID: 27902799
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to Rice.
    Jacquin L; Cao TV; Ahmadi N
    Front Genet; 2016; 7():145. PubMed ID: 27555865
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS.
    Aravkin AY; Bell BM; Burke JV; Pillonetto G
    IEEE Trans Neural Netw Learn Syst; 2015 Jul; 26(7):1518-24. PubMed ID: 25122843
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Kernel least-squares models using updates of the pseudoinverse.
    Andelić E; Schafföner M; Katz M; Krüger SE; Wendemuth A
    Neural Comput; 2006 Dec; 18(12):2928-35. PubMed ID: 17052152
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
    Tian X; Li Y; Liu T; Wang X; Tao D
    IEEE Trans Neural Netw Learn Syst; 2019 Jun; 30(6):1818-1830. PubMed ID: 30371390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adaptive learning in complex reproducing kernel Hilbert spaces employing Wirtinger's subgradients.
    Bouboulis P; Slavakis K; Theodoridis S
    IEEE Trans Neural Netw Learn Syst; 2012 Mar; 23(3):425-38. PubMed ID: 24808549
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning.
    Abibullaev B; An J; Jin SH; Lee SH; Moon JI
    Med Eng Phys; 2013 Dec; 35(12):1811-8. PubMed ID: 24054981
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
    Gu B; Geng X; Li X; Shi W; Zheng G; Deng C; Huang H
    IEEE Trans Neural Netw Learn Syst; 2021 Aug; 32(8):3677-3689. PubMed ID: 32857699
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimal Transport in Reproducing Kernel Hilbert Spaces: Theory and Applications.
    Zhang Z; Wang M; Nehorai A
    IEEE Trans Pattern Anal Mach Intell; 2020 Jul; 42(7):1741-1754. PubMed ID: 30843802
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction.
    Chen J; Zhang C; Kosorok MR; Liu Y
    Stat Interface; 2018; 11(3):401-420. PubMed ID: 30294406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification.
    Fouss F; Francoisse K; Yen L; Pirotte A; Saerens M
    Neural Netw; 2012 Jul; 31():53-72. PubMed ID: 22497802
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.