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 *

119 related articles for article (PubMed ID: 16856665)

  • 1. Parallel sequential minimal optimization for the training of support vector machines.
    Cao LJ; Keerthi SS; Ong CJ; Zhang JQ; Periyathamby U; Fu XJ; Lee HP
    IEEE Trans Neural Netw; 2006 Jul; 17(4):1039-49. PubMed ID: 16856665
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An SMO algorithm for the potential support vector machine.
    Knebel T; Hochreiter S; Obermayer K
    Neural Comput; 2008 Jan; 20(1):271-87. PubMed ID: 18045009
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Second-order SMO improves SVM online and active learning.
    Glasmachers T; Igel C
    Neural Comput; 2008 Feb; 20(2):374-82. PubMed ID: 18045012
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pruning support vector machines without altering performances.
    Liang X; Chen RC; Guo X
    IEEE Trans Neural Netw; 2008 Oct; 19(10):1792-803. PubMed ID: 18842482
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SMO-based pruning methods for sparse least squares support vector machines.
    Zeng X; Chen XW
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1541-6. PubMed ID: 16342494
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A study on SMO-type decomposition methods for support vector machines.
    Chen PH; Fan RE; Lin CJ
    IEEE Trans Neural Netw; 2006 Jul; 17(4):893-908. PubMed ID: 16856653
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Global convergence of SMO algorithm for support vector regression.
    Takahashi N; Guo J; Nishi T
    IEEE Trans Neural Netw; 2008 Jun; 19(6):971-82. PubMed ID: 18541498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.
    Torija AJ; Ruiz DP; Ramos-Ridao AF
    Sci Total Environ; 2014 Jun; 482-483():440-51. PubMed ID: 24007752
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rigorous proof of termination of SMO algorithm for support vector machines.
    Takahashi N; Nishi T
    IEEE Trans Neural Netw; 2005 May; 16(3):774-6. PubMed ID: 15941003
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Distributed computing methodology for training neural networks in an image-guided diagnostic application.
    Plagianakos VP; Magoulas GD; Vrahatis MN
    Comput Methods Programs Biomed; 2006 Mar; 81(3):228-35. PubMed ID: 16476503
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Generalized SMO algorithm for SVM-based multitask learning.
    Cai F; Cherkassky V
    IEEE Trans Neural Netw Learn Syst; 2012 Jun; 23(6):997-1003. PubMed ID: 24806769
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Single directional SMO algorithm for least squares support vector machines.
    Shao X; Wu K; Liao B
    Comput Intell Neurosci; 2013; 2013():968438. PubMed ID: 23509447
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multisurface proximal support vector machine classification via generalized eigenvalues.
    Mangasarian OL; Wild EW
    IEEE Trans Pattern Anal Mach Intell; 2006 Jan; 28(1):69-74. PubMed ID: 16402620
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining DC algorithms (DCAs) and decomposition techniques for the training of nonpositive-semidefinite kernels.
    Akoa FB
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1854-72. PubMed ID: 18990641
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Arbitrary norm support vector machines.
    Huang K; Zheng D; King I; Lyu MR
    Neural Comput; 2009 Feb; 21(2):560-82. PubMed ID: 19431269
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. A parallel mixture of SVMs for very large scale problems.
    Collobert R; Bengio S; Bengio Y
    Neural Comput; 2002 May; 14(5):1105-14. PubMed ID: 11972909
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.