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Journal Abstract Search

171 related items for PubMed ID: 20452742

  • 41. Modulated Hebb-Oja learning rule--a method for principal subspace analysis.
    Jankovic MV, Ogawa H.
    IEEE Trans Neural Netw; 2006 Mar; 17(2):345-56. PubMed ID: 16566463
    [Abstract] [Full Text] [Related]

  • 42. Implementing online natural gradient learning: problems and solutions.
    Wan W.
    IEEE Trans Neural Netw; 2006 Mar; 17(2):317-29. PubMed ID: 16566461
    [Abstract] [Full Text] [Related]

  • 43. Online modeling with tunable RBF network.
    Chen H, Gong Y, Hong X.
    IEEE Trans Cybern; 2013 Jun; 43(3):935-47. PubMed ID: 23096075
    [Abstract] [Full Text] [Related]

  • 44. 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
    [Abstract] [Full Text] [Related]

  • 45. Efficient global maximum likelihood estimation through kernel methods.
    Cervellera C, Macciò D, Muselli M.
    Neural Netw; 2010 Sep; 23(7):917-25. PubMed ID: 20403677
    [Abstract] [Full Text] [Related]

  • 46. A self-stabilizing learning rule for minor component analysis.
    Möller R.
    Int J Neural Syst; 2004 Feb; 14(1):1-8. PubMed ID: 15034943
    [Abstract] [Full Text] [Related]

  • 47. On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms.
    Kong X, Hu C, Han C.
    IEEE Trans Neural Netw; 2010 Jan; 21(1):175-81. PubMed ID: 19963694
    [Abstract] [Full Text] [Related]

  • 48. 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
    [Abstract] [Full Text] [Related]

  • 49. A general CPL-AdS methodology for fixing dynamic parameters in dual environments.
    Huang DS, Jiang W.
    IEEE Trans Syst Man Cybern B Cybern; 2012 Oct; 42(5):1489-500. PubMed ID: 22562768
    [Abstract] [Full Text] [Related]

  • 50. Non-divergence of stochastic discrete time algorithms for PCA neural networks.
    Lv JC, Yi Z, Li Y.
    IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):394-9. PubMed ID: 25608296
    [Abstract] [Full Text] [Related]

  • 51. Weighted rule based adaptive algorithm for simultaneously extracting generalized eigenvectors.
    Yang J, Zhao Y, Xi H.
    IEEE Trans Neural Netw; 2011 May; 22(5):800-6. PubMed ID: 21421433
    [Abstract] [Full Text] [Related]

  • 52. Deterministic learning for maximum-likelihood estimation through neural networks.
    Cervellera C, Macciò D, Muselli M.
    IEEE Trans Neural Netw; 2008 Aug; 19(8):1456-67. PubMed ID: 18701374
    [Abstract] [Full Text] [Related]

  • 53. Deformation of log-likelihood loss function for multiclass boosting.
    Kanamori T.
    Neural Netw; 2010 Sep; 23(7):843-64. PubMed ID: 20542407
    [Abstract] [Full Text] [Related]

  • 54.
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  • 55. Stiefel-manifold learning by improved rigid-body theory applied to ICA.
    Fiori S, Rossi R.
    Int J Neural Syst; 2003 Oct; 13(5):273-90. PubMed ID: 14652870
    [Abstract] [Full Text] [Related]

  • 56. 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
    [Abstract] [Full Text] [Related]

  • 57. A minor subspace analysis algorithm.
    Luo FL, Unbehauen R.
    IEEE Trans Neural Netw; 1997 Jul; 8(5):1149-55. PubMed ID: 18255716
    [Abstract] [Full Text] [Related]

  • 58.
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  • 59. Decentralized indirect methods for learning automata games.
    Tilak O, Martin R, Mukhopadhyay S.
    IEEE Trans Syst Man Cybern B Cybern; 2011 Oct; 41(5):1213-23. PubMed ID: 21925998
    [Abstract] [Full Text] [Related]

  • 60.
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