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Journal Abstract Search

405 related items for PubMed ID: 18835695

  • 1. SAKM: self-adaptive kernel machine. A kernel-based algorithm for online clustering.
    Amadou Boubacar H, Lecoeuche S, Maouche S.
    Neural Netw; 2008 Nov; 21(9):1287-301. PubMed ID: 18835695
    [Abstract] [Full Text] [Related]

  • 2. Limited stochastic meta-descent for kernel-based online learning.
    He W.
    Neural Comput; 2009 Sep; 21(9):2667-86. PubMed ID: 19409057
    [Abstract] [Full Text] [Related]

  • 3. Stochastic subset selection for learning with kernel machines.
    Rhinelander J, Liu XP.
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):616-26. PubMed ID: 22049369
    [Abstract] [Full Text] [Related]

  • 4. Efficient streaming text clustering.
    Zhong S.
    Neural Netw; 2005 Jun; 18(5-6):790-8. PubMed ID: 16085385
    [Abstract] [Full Text] [Related]

  • 5. Joint entropy maximization in kernel-based topographic maps.
    Van Hulle MM.
    Neural Comput; 2002 Aug; 14(8):1887-906. PubMed ID: 12180406
    [Abstract] [Full Text] [Related]

  • 6. Partial distortion entropy maximization for online data clustering.
    Takizawa H, Kobayashi H.
    Neural Netw; 2007 Sep; 20(7):819-31. PubMed ID: 17683903
    [Abstract] [Full Text] [Related]

  • 7. An incremental network for on-line unsupervised classification and topology learning.
    Furao S, Hasegawa O.
    Neural Netw; 2006 Jan; 19(1):90-106. PubMed ID: 16153805
    [Abstract] [Full Text] [Related]

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  • 9. Composite adaptive control with locally weighted statistical learning.
    Nakanishi J, Farrell JA, Schaal S.
    Neural Netw; 2005 Jan; 18(1):71-90. PubMed ID: 15649663
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  • 11. A new approach of data clustering using a flock of agents.
    Picarougne F, Azzag H, Venturini G, Guinot C.
    Evol Comput; 2007 Jan; 15(3):345-67. PubMed ID: 17705782
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  • 13. A self-stabilizing MSA algorithm in high-dimension data stream.
    Kong X, Hu C, Han C.
    Neural Netw; 2010 Sep; 23(7):865-71. PubMed ID: 20452742
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  • 15. Radial basis function network-based transform for a nonlinear support vector machine as optimized by a particle swarm optimization algorithm with application to QSAR studies.
    Tang LJ, Zhou YP, Jiang JH, Zou HY, Wu HL, Shen GL, Yu RQ.
    J Chem Inf Model; 2007 Sep; 47(4):1438-45. PubMed ID: 17555309
    [Abstract] [Full Text] [Related]

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  • 17. Unsupervised analysis of fMRI data using kernel canonical correlation.
    Hardoon DR, Mourão-Miranda J, Brammer M, Shawe-Taylor J.
    Neuroimage; 2007 Oct 01; 37(4):1250-9. PubMed ID: 17686634
    [Abstract] [Full Text] [Related]

  • 18. Handling missing values in support vector machine classifiers.
    Pelckmans K, De Brabanter J, Suykens JA, De Moor B.
    Neural Netw; 2005 Oct 01; 18(5-6):684-92. PubMed ID: 16111866
    [Abstract] [Full Text] [Related]

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  • 20. Efficiently updating and tracking the dominant kernel principal components.
    Hoegaerts L, De Lathauwer L, Goethals I, Suykens JA, Vandewalle J, De Moor B.
    Neural Netw; 2007 Mar 01; 20(2):220-9. PubMed ID: 17234385
    [Abstract] [Full Text] [Related]

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