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 *

316 related articles for article (PubMed ID: 20123572)

  • 1. 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]  

  • 2. Localized generalization error model and its application to architecture selection for radial basis function neural network.
    Yeung DS; Ng WW; Wang D; Tsang EC; Wang XZ
    IEEE Trans Neural Netw; 2007 Sep; 18(5):1294-305. PubMed ID: 18220181
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient Kernelized prototype based classification.
    Schleif FM; Villmann T; Hammer B; Schneider P
    Int J Neural Syst; 2011 Dec; 21(6):443-57. PubMed ID: 22131298
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A convex approach to validation-based learning of the regularization constant.
    Pelckmans K; Suykens JA; De Moor B
    IEEE Trans Neural Netw; 2007 May; 18(3):917-20. PubMed ID: 17526357
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fast modular network implementation for support vector machines.
    Huang GB; Mao KZ; Siew CK; Huang DS
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1651-63. PubMed ID: 16342504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Structural regularized support vector machine: a framework for structural large margin classifier.
    Xue H; Chen S; Yang Q
    IEEE Trans Neural Netw; 2011 Apr; 22(4):573-87. PubMed ID: 21385668
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Training hard-margin support vector machines using greedy stagewise algorithm.
    Bo L; Wang L; Jiao L
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1446-55. PubMed ID: 18701373
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A practical approach to model selection for support vector machines with a Gaussian kernel.
    Varewyck M; Martens JP
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):330-40. PubMed ID: 20699214
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 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. Feature selection in MLPs and SVMs based on maximum output information.
    Sindhwani V; Rakshit S; Deodhare D; Erdogmus D; Principe JC; Niyogi P
    IEEE Trans Neural Netw; 2004 Jul; 15(4):937-48. PubMed ID: 15461085
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Solving nonstationary classification problems with coupled support vector machines.
    Grinblat GL; Uzal LC; Ceccatto HA; Granitto PM
    IEEE Trans Neural Netw; 2011 Jan; 22(1):37-51. PubMed ID: 21062680
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bias in error estimation when using cross-validation for model selection.
    Varma S; Simon R
    BMC Bioinformatics; 2006 Feb; 7():91. PubMed ID: 16504092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improvements on twin support vector machines.
    Shao YH; Zhang CH; Wang XB; Deng NY
    IEEE Trans Neural Netw; 2011 Jun; 22(6):962-8. PubMed ID: 21550880
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory.
    Verzi SJ; Heileman GL; Georgiopoulos M
    Neural Netw; 2006 May; 19(4):446-68. PubMed ID: 16343845
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sparse multinomial logistic regression: fast algorithms and generalization bounds.
    Krishnapuram B; Carin L; Figueiredo MA; Hartemink AJ
    IEEE Trans Pattern Anal Mach Intell; 2005 Jun; 27(6):957-68. PubMed ID: 15943426
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Linear constraints on weight representation for generalized learning of multilayer networks.
    Ishii M; Kumazawa I
    Neural Comput; 2001 Dec; 13(12):2851-63. PubMed ID: 11705413
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.