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 *

118 related articles for article (PubMed ID: 12576106)

  • 21. Algorithms for identifying Boolean networks and related biological networks based on matrix multiplication and fingerprint function.
    Akutsu T; Miyano S; Kuhara S
    J Comput Biol; 2000; 7(3-4):331-43. PubMed ID: 11108466
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Efficient adaptive learning for classification tasks with binary units.
    Torres Moreno JM; Gordon MB
    Neural Comput; 1998 May; 10(4):1007-30. PubMed ID: 9573417
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hardware prototypes of a Boolean neural network and the simulated annealing optimization method.
    Niittylahti J
    Int J Neural Syst; 1996 Mar; 7(1):45-52. PubMed ID: 8828049
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Universal perceptron and DNA-like learning algorithm for binary neural networks: non-LSBF implementation.
    Chen F; Chen G; He Q; He G; Xu X
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1293-301. PubMed ID: 19589746
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Feedforward neural network construction using cross validation.
    Setiono R
    Neural Comput; 2001 Dec; 13(12):2865-77. PubMed ID: 11705414
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Recursive neural network rule extraction for data with mixed attributes.
    Setiono R; Baesens B; Mues C
    IEEE Trans Neural Netw; 2008 Feb; 19(2):299-307. PubMed ID: 18269960
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. A Lempel-Ziv complexity-based neural network pruning algorithm.
    Ahmed SU; Shahjahan M; Murase K
    Int J Neural Syst; 2011 Oct; 21(5):427-41. PubMed ID: 21956934
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Extracting M-of-N rules from trained neural networks.
    Setiono R
    IEEE Trans Neural Netw; 2000; 11(2):512-9. PubMed ID: 18249780
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Evolutionary product unit based neural networks for regression.
    Martínez-Estudillo A; Martínez-Estudillo F; Hervás-Martínez C; García-Pedrajas N
    Neural Netw; 2006 May; 19(4):477-86. PubMed ID: 16481148
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. On the limit cycle structure of threshold boolean networks over complete graphs.
    Voutsadakis G
    Int J Neural Syst; 2004 Jun; 14(3):209-15. PubMed ID: 15243953
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Optimized approximation algorithm in neural networks without overfitting.
    Liu Y; Starzyk JA; Zhu Z
    IEEE Trans Neural Netw; 2008 Jun; 19(6):983-95. PubMed ID: 18541499
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Analysis of Tikhonov regularization for function approximation by neural networks.
    Burger M; Neubauer A
    Neural Netw; 2003 Jan; 16(1):79-90. PubMed ID: 12576108
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A new algorithm to design compact two-hidden-layer artificial neural networks.
    Islam MM; Murase K
    Neural Netw; 2001 Nov; 14(9):1265-78. PubMed ID: 11718425
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Generalization and capacity of extensively large two-layered perceptrons.
    Rosen-Zvi M; Engel A; Kanter I
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Sep; 66(3 Pt 2A):036138. PubMed ID: 12366215
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A SAT-based algorithm for finding attractors in synchronous Boolean networks.
    Dubrova E; Teslenko M
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(5):1393-9. PubMed ID: 21778527
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Single-hidden-layer feed-forward quantum neural network based on Grover learning.
    Liu CY; Chen C; Chang CT; Shih LM
    Neural Netw; 2013 Sep; 45():144-50. PubMed ID: 23545155
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A new adaptive merging and growing algorithm for designing artificial neural networks.
    Islam MM; Sattar MA; Amin MF; Yao X; Murase K
    IEEE Trans Syst Man Cybern B Cybern; 2009 Jun; 39(3):705-22. PubMed ID: 19203888
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A remark on "scalar equations for synchronous Boolean networks with biological applications" by C. Farrow, J. Heidel, J. Maloney, and J. Rogers.
    Zhao Q
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1715-6. PubMed ID: 16342513
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.