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Pubmed for Handhelds

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Journal Abstract Search

392 related items for PubMed ID: 28293256

  • 1. Ranking Support Vector Machine with Kernel Approximation.
    Chen K, Li R, Dou Y, Liang Z, Lv Q.
    Comput Intell Neurosci; 2017; 2017():4629534. PubMed ID: 28293256
    [Abstract] [Full Text] [Related]

  • 2. Large-scale linear rankSVM.
    Lee CP, Lin CJ.
    Neural Comput; 2014 Apr; 26(4):781-817. PubMed ID: 24479776
    [Abstract] [Full Text] [Related]

  • 3. Generalized core vector machines.
    Tsang IW, Kwok JT, Zurada JM.
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1126-40. PubMed ID: 17001975
    [Abstract] [Full Text] [Related]

  • 4. Clustered Nyström method for large scale manifold learning and dimension reduction.
    Zhang K, Kwok JT.
    IEEE Trans Neural Netw; 2010 Oct; 21(10):1576-87. PubMed ID: 20805054
    [Abstract] [Full Text] [Related]

  • 5. L2-norm multiple kernel learning and its application to biomedical data fusion.
    Yu S, Falck T, Daemen A, Tranchevent LC, Suykens JA, De Moor B, Moreau Y.
    BMC Bioinformatics; 2010 Jun 08; 11():309. PubMed ID: 20529363
    [Abstract] [Full Text] [Related]

  • 6. Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS.
    Yu H, Kim T, Oh J, Ko I, Kim S, Han WS.
    BMC Bioinformatics; 2010 Apr 16; 11 Suppl 2(Suppl 2):S6. PubMed ID: 20406504
    [Abstract] [Full Text] [Related]

  • 7. Reduced support vector machines: a statistical theory.
    Lee YJ, Huang SY.
    IEEE Trans Neural Netw; 2007 Jan 16; 18(1):1-13. PubMed ID: 17278457
    [Abstract] [Full Text] [Related]

  • 8. Kernels for generalized multiple-instance learning.
    Tao Q, Scott SD, Vinodchandran NV, Osugi TT, Mueller B.
    IEEE Trans Pattern Anal Mach Intell; 2008 Dec 16; 30(12):2084-98. PubMed ID: 18988944
    [Abstract] [Full Text] [Related]

  • 9. Correlation kernels for support vector machines classification with applications in cancer data.
    Jiang H, Ching WK.
    Comput Math Methods Med; 2012 Dec 16; 2012():205025. PubMed ID: 22919428
    [Abstract] [Full Text] [Related]

  • 10. Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation.
    Niu W, Xia K, Zu B, Bai J.
    Comput Intell Neurosci; 2017 Dec 16; 2017():3678487. PubMed ID: 28912801
    [Abstract] [Full Text] [Related]

  • 11. A new robust model of one-class classification by interval-valued training data using the triangular kernel.
    Utkin LV, Chekh AI.
    Neural Netw; 2015 Sep 16; 69():99-110. PubMed ID: 26093040
    [Abstract] [Full Text] [Related]

  • 12. Sparse multiple kernel learning for signal processing applications.
    Subrahmanya N, Shin YC.
    IEEE Trans Pattern Anal Mach Intell; 2010 May 16; 32(5):788-98. PubMed ID: 20299705
    [Abstract] [Full Text] [Related]

  • 13. Multiscale asymmetric orthogonal wavelet kernel for linear programming support vector learning and nonlinear dynamic systems identification.
    Lu Z, Sun J, Butts K.
    IEEE Trans Cybern; 2014 May 16; 44(5):712-24. PubMed ID: 24058047
    [Abstract] [Full Text] [Related]

  • 14. A multi-label learning based kernel automatic recommendation method for support vector machine.
    Zhang X, Song Q.
    PLoS One; 2015 May 16; 10(3):e0120455. PubMed ID: 25893896
    [Abstract] [Full Text] [Related]

  • 15. Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.
    Li Y, Zhu Z, Hou A, Zhao Q, Liu L, Zhang L.
    Comput Math Methods Med; 2018 May 16; 2018():1461470. PubMed ID: 29853983
    [Abstract] [Full Text] [Related]

  • 16. Kernel discriminant analysis for positive definite and indefinite kernels.
    Pekalska E, Haasdonk B.
    IEEE Trans Pattern Anal Mach Intell; 2009 Jun 16; 31(6):1017-32. PubMed ID: 19372607
    [Abstract] [Full Text] [Related]

  • 17. A Fast Reduced Kernel Extreme Learning Machine.
    Deng WY, Ong YS, Zheng QH.
    Neural Netw; 2016 Apr 16; 76():29-38. PubMed ID: 26829605
    [Abstract] [Full Text] [Related]

  • 18. Training Lp norm multiple kernel learning in the primal.
    Liang Z, Xia S, Zhou Y, Zhang L.
    Neural Netw; 2013 Oct 16; 46():172-82. PubMed ID: 23770740
    [Abstract] [Full Text] [Related]

  • 19. Linear regression-based efficient SVM learning for large-scale classification.
    Wu J, Yang H.
    IEEE Trans Neural Netw Learn Syst; 2015 Oct 16; 26(10):2357-69. PubMed ID: 25576581
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  • 20. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
    Hasan MA, Ahmad S, Molla MK.
    Mol Biosyst; 2017 Mar 28; 13(4):785-795. PubMed ID: 28247893
    [Abstract] [Full Text] [Related]

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