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 *

256 related articles for article (PubMed ID: 20236881)

  • 1. Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors.
    Khoshgoftaar TM; Van Hulse J; Napolitano A
    IEEE Trans Neural Netw; 2010 May; 21(5):813-30. PubMed ID: 20236881
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Dynamic sampling approach to training neural networks for multiclass imbalance classification.
    Lin M; Tang K; Yao X
    IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):647-60. PubMed ID: 24808384
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new Jacobian matrix for optimal learning of single-layer neural networks.
    Peng JX; Li K; Irwin GW
    IEEE Trans Neural Netw; 2008 Jan; 19(1):119-29. PubMed ID: 18269943
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-learning approach to neural network optimization.
    Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
    Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data.
    Castro CL; Braga AP
    IEEE Trans Neural Netw Learn Syst; 2013 Jun; 24(6):888-99. PubMed ID: 24808471
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Architectures and accuracy of artificial neural network for disease classification from omics data.
    Yu H; Samuels DC; Zhao YY; Guo Y
    BMC Genomics; 2019 Mar; 20(1):167. PubMed ID: 30832569
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Timescale separation in recurrent neural networks.
    Flynn T
    Neural Comput; 2015 Jun; 27(6):1321-44. PubMed ID: 25826019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Polynomial harmonic GMDH learning networks for time series modeling.
    Nikolaev NY; Iba H
    Neural Netw; 2003 Dec; 16(10):1527-40. PubMed ID: 14622880
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. On objective function, regularizer, and prediction error of a learning algorithm for dealing with multiplicative weight noise.
    Sum JP; Leung CS; Ho KI
    IEEE Trans Neural Netw; 2009 Jan; 20(1):124-38. PubMed ID: 19109090
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evolutionary fuzzy ARTMAP neural networks for classification of semiconductor defects.
    Tan SC; Watada J; Ibrahim Z; Khalid M
    IEEE Trans Neural Netw Learn Syst; 2015 May; 26(5):933-50. PubMed ID: 25014967
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A neural network algorithm for semi-supervised node label learning from unbalanced data.
    Frasca M; Bertoni A; Re M; Valentini G
    Neural Netw; 2013 Jul; 43():84-98. PubMed ID: 23500503
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Three learning phases for radial-basis-function networks.
    Schwenker F; Kestler HA; Palm G
    Neural Netw; 2001 May; 14(4-5):439-58. PubMed ID: 11411631
    [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. Recruitment learning of boolean functions in sparse random networks.
    Hogan JM; Diederich J
    Int J Neural Syst; 2001 Dec; 11(6):537-59. PubMed ID: 11852438
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
    Auer P; Burgsteiner H; Maass W
    Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Online semi-supervised growing neural gas.
    Beyer O; Cimiano P
    Int J Neural Syst; 2012 Oct; 22(5):1250023. PubMed ID: 22992211
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamics of learning near singularities in layered networks.
    Wei H; Zhang J; Cousseau F; Ozeki T; Amari S
    Neural Comput; 2008 Mar; 20(3):813-43. PubMed ID: 18045020
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Noise, regularizers, and unrealizable scenarios in online learning from restricted training sets.
    Xiong YS; Saad D
    Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Jul; 64(1 Pt 1):011919. PubMed ID: 11461300
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis.
    Serpen G; Tekkedil DK; Orra M
    Comput Biol Med; 2008 Feb; 38(2):204-20. PubMed ID: 18022148
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.