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 *

135 related articles for article (PubMed ID: 18263319)

  • 1. Generalization and PAC learning: some new results for the class of generalized single-layer networks.
    Holden SB; Rayner PW
    IEEE Trans Neural Netw; 1995; 6(2):368-80. PubMed ID: 18263319
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Iterative fast orthogonal search algorithm for MDL-based training of generalized single-layer networks.
    Adeney KM; Korenberg MJ
    Neural Netw; 2000 Sep; 13(7):787-99. PubMed ID: 11152209
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Randomness in generalization ability: a source to improve it.
    Sarkar D
    IEEE Trans Neural Netw; 1996; 7(3):676-85. PubMed ID: 18263464
    [TBL] [Abstract][Full Text] [Related]  

  • 4. On the sample complexity of learning for networks of spiking neurons with nonlinear synaptic interactions.
    Schmitt M
    IEEE Trans Neural Netw; 2004 Sep; 15(5):995-1001. PubMed ID: 15484876
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
    Huynh HT; Won Y; Kim JJ
    Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On sequential construction of binary neural networks.
    Muselli M
    IEEE Trans Neural Netw; 1995; 6(3):678-90. PubMed ID: 18263353
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A new formulation for feedforward neural networks.
    Razavi S; Tolson BA
    IEEE Trans Neural Netw; 2011 Oct; 22(10):1588-98. PubMed ID: 21859600
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning and convergence analysis of neural-type structured networks.
    Polycarpou MM; Ioannou PA
    IEEE Trans Neural Netw; 1992; 3(1):39-50. PubMed ID: 18276404
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-dimensional dynamics of generalization error in neural networks.
    Advani MS; Saxe AM; Sompolinsky H
    Neural Netw; 2020 Dec; 132():428-446. PubMed ID: 33022471
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning capacity and sample complexity on expert networks.
    Fu L
    IEEE Trans Neural Netw; 1996; 7(6):1517-20. PubMed ID: 18263546
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generalized RLS approach to the training of neural networks.
    Xu Y; Wong KW; Leung CS
    IEEE Trans Neural Netw; 2006 Jan; 17(1):19-34. PubMed ID: 16526473
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring constructive cascade networks.
    Treadgold NK; Gedeon TD
    IEEE Trans Neural Netw; 1999; 10(6):1335-50. PubMed ID: 18252635
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Regularization algorithms for learning that are equivalent to multilayer networks.
    Poggio T; Girosi F
    Science; 1990 Feb; 247(4945):978-82. PubMed ID: 17776454
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks.
    Wu W; Fan Q; Zurada JM; Wang J; Yang D; Liu Y
    Neural Netw; 2014 Feb; 50():72-8. PubMed ID: 24291693
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Representation and generalization properties of class-entropy networks.
    Ridella S; Rovetta S; Zunino R
    IEEE Trans Neural Netw; 1999; 10(1):31-47. PubMed ID: 18252501
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning algorithms for feedforward networks based on finite samples.
    Rao NV; Protopopescu V; Mann RC; Oblow EM; Iyengar SS
    IEEE Trans Neural Netw; 1996; 7(4):926-40. PubMed ID: 18263488
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal Evolution of Generalization during Learning in Linear Networks.
    Baldi P; Chauvin Y
    Neural Comput; 1991; 3(4):589-603. PubMed ID: 31167336
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A selective learning method to improve the generalization of multilayer feedforward neural networks.
    Galván IM; Isasi P; Aler R; Valls JM
    Int J Neural Syst; 2001 Apr; 11(2):167-77. PubMed ID: 14632169
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A fast and accurate online sequential learning algorithm for feedforward networks.
    Liang NY; Huang GB; Saratchandran P; Sundararajan N
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1411-23. PubMed ID: 17131657
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.