BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

475 related articles for article (PubMed ID: 19443179)

  • 1. 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]  

  • 2. Framelet kernels with applications to support vector regression and regularization networks.
    Zhang WF; Dai DQ; Yan H
    IEEE Trans Syst Man Cybern B Cybern; 2010 Aug; 40(4):1128-44. PubMed ID: 19963701
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Generation of anisotropic-smoothness regularization filters for EIT.
    Borsic A; Lionheart WR; McLeod CN
    IEEE Trans Med Imaging; 2002 Jun; 21(6):579-87. PubMed ID: 12166853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On learning vector-valued functions.
    Micchelli CA; Pontil M
    Neural Comput; 2005 Jan; 17(1):177-204. PubMed ID: 15563752
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Two hybrid regularization frameworks for solving the electrocardiography inverse problem.
    Jiang M; Xia L; Shou G; Liu F; Crozier S
    Phys Med Biol; 2008 Sep; 53(18):5151-64. PubMed ID: 18723934
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Solving the inverse problem of electrocardiography using a Duncan and Horn formulation of the Kalman filter.
    Berrier KL; Sorensen DC; Khoury DS
    IEEE Trans Biomed Eng; 2004 Mar; 51(3):507-15. PubMed ID: 15000381
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tikhonov regularization and prior information in electrical impedance tomography.
    Vauhkonen M; Vadász D; Karjalainen PA; Somersalo E; Kaipio JP
    IEEE Trans Med Imaging; 1998 Apr; 17(2):285-93. PubMed ID: 9688160
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Bayesian online multitask learning of Gaussian processes.
    Pillonetto G; Dinuzzo F; De Nicolao G
    IEEE Trans Pattern Anal Mach Intell; 2010 Feb; 32(2):193-205. PubMed ID: 20075452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [The selection of Tikhonov regularization parameter in dynamic electrical impedance imaging].
    Peng Y; Mo Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Dec; 20(4):571-3. PubMed ID: 14716847
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Two criteria for model selection in multiclass support vector machines.
    Wang L; Xue P; Chan KL
    IEEE Trans Syst Man Cybern B Cybern; 2008 Dec; 38(6):1432-48. PubMed ID: 19022717
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Partial distortion entropy maximization for online data clustering.
    Takizawa H; Kobayashi H
    Neural Netw; 2007 Sep; 20(7):819-31. PubMed ID: 17683903
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [A strategy of ECG classification based on SVM].
    Tang X; Tang L; Mo Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Apr; 25(2):246-9. PubMed ID: 18610599
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A variational EM approach to predictive uncertainty.
    Harva M
    Neural Netw; 2007 May; 20(4):550-8. PubMed ID: 17524615
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The estimation of distributions and the minimum relative entropy principle.
    Mühlenbein H; Höns R
    Evol Comput; 2005; 13(1):1-27. PubMed ID: 15901422
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On different facets of regularization theory.
    Chen Z; Haykin S
    Neural Comput; 2002 Dec; 14(12):2791-846. PubMed ID: 12487794
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new classifier based on information theoretic learning with unlabeled data.
    Jeong KH; Xu JW; Erdogmus D; Principe JC
    Neural Netw; 2005; 18(5-6):719-26. PubMed ID: 16102941
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 24.