BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

459 related articles for article (PubMed ID: 21880570)

  • 1. 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]  

  • 2. 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]  

  • 3. Analysis of fixed-point and coordinate descent algorithms for regularized kernel methods.
    Dinuzzo F
    IEEE Trans Neural Netw; 2011 Oct; 22(10):1576-87. PubMed ID: 21859617
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Nondegenerate piecewise linear systems: a finite Newton algorithm and applications in machine learning.
    Yuan XT; Yan S
    Neural Comput; 2012 Apr; 24(4):1047-84. PubMed ID: 22091666
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Upport vector machines for nonlinear kernel ARMA system identification.
    Martínez-Ramón M; Rojo-Alvarez JL; Camps-Valls G; Muñioz-Marí J; Navia-Vázquez A; Soria-Olivas E; Figueiras-Vidal AR
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1617-22. PubMed ID: 17131673
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Why neural networks should not be used for HIV-1 protease cleavage site prediction.
    Rögnvaldsson T; You L
    Bioinformatics; 2004 Jul; 20(11):1702-9. PubMed ID: 14988129
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
    Xia Y; Feng G; Wang J
    Neural Netw; 2004 Sep; 17(7):1003-15. PubMed ID: 15312842
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using unsupervised analysis to constrain generalization bounds for support vector classifiers.
    Decherchi S; Ridella S; Zunino R; Gastaldo P; Anguita D
    IEEE Trans Neural Netw; 2010 Mar; 21(3):424-38. PubMed ID: 20123572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Support vector echo-state machine for chaotic time-series prediction.
    Shi Z; Han M
    IEEE Trans Neural Netw; 2007 Mar; 18(2):359-72. PubMed ID: 17385625
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimal reduced-set vectors for support vector machines with a quadratic kernel.
    Thies T; Weber F
    Neural Comput; 2004 Sep; 16(9):1769-77. PubMed ID: 15290795
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.