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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

103 related articles for article (PubMed ID: 18254698)

  • 1. Spectral algorithms for supervised learning.
    Lo Gerfo L; Rosasco L; Odone F; De Vito E; Verri A
    Neural Comput; 2008 Jul; 20(7):1873-97. PubMed ID: 18254698
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving generalization performance of natural gradient learning using optimized regularization by NIC.
    Park H; Murata N; Amari S
    Neural Comput; 2004 Feb; 16(2):355-82. PubMed ID: 15006100
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust regularized kernel regression.
    Zhu J; Hoi SC; Lyu MR
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1639-44. PubMed ID: 19022733
    [TBL] [Abstract][Full Text] [Related]  

  • 4. On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.
    Mizutani E; Demmel JW
    Neural Netw; 2003; 16(5-6):745-53. PubMed ID: 12850030
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sparse kernel learning with LASSO and Bayesian inference algorithm.
    Gao J; Kwan PW; Shi D
    Neural Netw; 2010 Mar; 23(2):257-64. PubMed ID: 19604671
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis.
    Sun L; Ji S; Ye J
    IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):194-200. PubMed ID: 20733223
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Another look at statistical learning theory and regularization.
    Cherkassky V; Ma Y
    Neural Netw; 2009 Sep; 22(7):958-69. PubMed ID: 19443179
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Regularization techniques and suboptimal solutions to optimization problems in learning from data.
    Gnecco G; Sanguineti M
    Neural Comput; 2010 Mar; 22(3):793-829. PubMed ID: 19922296
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.
    Chen K; Wang S
    IEEE Trans Pattern Anal Mach Intell; 2011 Jan; 33(1):129-43. PubMed ID: 20421671
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Efficient sparse kernel feature extraction based on partial least squares.
    Dhanjal C; Gunn SR; Shawe-Taylor J
    IEEE Trans Pattern Anal Mach Intell; 2009 Aug; 31(8):1347-61. PubMed ID: 19542571
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SemiBoost: boosting for semi-supervised learning.
    Mallapragada PK; Jin R; Jain AK; Liu Y
    IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combination of the LSQR method and a genetic algorithm for solving the electrocardiography inverse problem.
    Jiang M; Xia L; Shou G; Tang M
    Phys Med Biol; 2007 Mar; 52(5):1277-94. PubMed ID: 17301454
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Solution path for manifold regularized semisupervised classification.
    Wang G; Wang F; Chen T; Yeung DY; Lochovsky FH
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):308-19. PubMed ID: 22010154
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Graph-based semisupervised learning.
    Culp M; Michailidis G
    IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):174-9. PubMed ID: 18000333
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonparametric supervised learning by linear interpolation with maximum entropy.
    Gupta MR; Gray RM; Olshen RA
    IEEE Trans Pattern Anal Mach Intell; 2006 May; 28(5):766-81. PubMed ID: 16640262
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accuracy-based learning classifier systems: models, analysis and applications to classification tasks.
    Bernadó-Mansilla E; Garrell-Guiu JM
    Evol Comput; 2003; 11(3):209-38. PubMed ID: 14558911
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A regularized kernel CCA contrast function for ICA.
    Alzate C; Suykens JA
    Neural Netw; 2008; 21(2-3):170-81. PubMed ID: 18280110
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Truncated total least squares: a new regularization method for the solution of ECG inverse problems.
    Shou G; Xia L; Jiang M; Wei Q; Liu F; Crozier S
    IEEE Trans Biomed Eng; 2008 Apr; 55(4):1327-35. PubMed ID: 18390323
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast generalized cross-validation algorithm for sparse model learning.
    Sundararajan S; Shevade S; Keerthi SS
    Neural Comput; 2007 Jan; 19(1):283-301. PubMed ID: 17134326
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning eigenfunctions links spectral embedding and kernel PCA.
    Bengio Y; Delalleau O; Le Roux N; Paiement JF; Vincent P; Ouimet M
    Neural Comput; 2004 Oct; 16(10):2197-219. PubMed ID: 15333211
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.