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 *

117 related articles for article (PubMed ID: 20123570)

  • 1. An improved algorithm for the solution of the regularization path of support vector machine.
    Ong CJ; Shao S; Yang J
    IEEE Trans Neural Netw; 2010 Mar; 21(3):451-62. PubMed ID: 20123570
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Nonlinear regularization path for quadratic loss support vector machines.
    Karasuyama M; Takeuchi I
    IEEE Trans Neural Netw; 2011 Oct; 22(10):1613-25. PubMed ID: 21880570
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new solution path algorithm in support vector regression.
    Wang G; Yeung DY; Lochovsky FH
    IEEE Trans Neural Netw; 2008 Oct; 19(10):1753-67. PubMed ID: 18842479
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Data visualization and dimensionality reduction using kernel maps with a reference point.
    Suykens JA
    IEEE Trans Neural Netw; 2008 Sep; 19(9):1501-17. PubMed ID: 18779084
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Design of a multiple kernel learning algorithm for LS-SVM by convex programming.
    Jian L; Xia Z; Liang X; Gao C
    Neural Netw; 2011 Jun; 24(5):476-83. PubMed ID: 21441012
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Information criteria for support vector machines.
    Kobayashi K; Komaki F
    IEEE Trans Neural Netw; 2006 May; 17(3):571-7. PubMed ID: 16722163
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Terminated Ramp-Support vector machines: a nonparametric data dependent kernel.
    Merler S; Jurman G
    Neural Netw; 2006 Dec; 19(10):1597-611. PubMed ID: 16603338
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels.
    Sentelle CG; Anagnostopoulos GC; Georgiopoulos M
    IEEE Trans Neural Netw Learn Syst; 2016 Apr; 27(4):709-22. PubMed ID: 26011894
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Probabilistic classification vector machines.
    Chen H; Tino P; Yao X
    IEEE Trans Neural Netw; 2009 Jun; 20(6):901-14. PubMed ID: 19398403
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A geometric approach to support vector machine (SVM) classification.
    Mavroforakis ME; Theodoridis S
    IEEE Trans Neural Netw; 2006 May; 17(3):671-82. PubMed ID: 16722171
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiple incremental decremental learning of support vector machines.
    Karasuyama M; Takeuchi I
    IEEE Trans Neural Netw; 2010 Jul; 21(7):1048-59. PubMed ID: 20550990
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A probabilistic active support vector learning algorithm.
    Mitra P; Murthy CA; Pal SK
    IEEE Trans Pattern Anal Mach Intell; 2004 Mar; 26(3):413-8. PubMed ID: 15376888
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accurate on-line ν-support vector learning.
    Gu B; Wang JD; Yu YC; Zheng GS; Huang YF; Xu T
    Neural Netw; 2012 Mar; 27():51-9. PubMed ID: 22057091
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
    Oyang YJ; Hwang SC; Ou YY; Chen CY; Chen ZW
    IEEE Trans Neural Netw; 2005 Jan; 16(1):225-36. PubMed ID: 15732402
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semisupervised least squares support vector machine.
    Adankon MM; Cheriet M; Biem A
    IEEE Trans Neural Netw; 2009 Dec; 20(12):1858-70. PubMed ID: 19963446
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
    Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J
    Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Stochastic subset selection for learning with kernel machines.
    Rhinelander J; Liu XP
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):616-26. PubMed ID: 22049369
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Incremental training of support vector machines.
    Shilton A; Palaniswami M; Ralph D; Tsoi AC
    IEEE Trans Neural Netw; 2005 Jan; 16(1):114-31. PubMed ID: 15732393
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Generalized core vector machines.
    Tsang IW; Kwok JT; Zurada JM
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1126-40. PubMed ID: 17001975
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Foley-Sammon optimal discriminant vectors using kernel approach.
    Zheng W; Zhao L; Zou C
    IEEE Trans Neural Netw; 2005 Jan; 16(1):1-9. PubMed ID: 15732385
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.