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 *

161 related articles for article (PubMed ID: 11110132)

  • 21. Information geometry of U-Boost and Bregman divergence.
    Murata N; Takenouchi T; Kanamori T; Eguchi S
    Neural Comput; 2004 Jul; 16(7):1437-81. PubMed ID: 15165397
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networks.
    Movellan JR; Mineiro P; Williams RJ
    Neural Comput; 2002 Jul; 14(7):1507-44. PubMed ID: 12079544
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Robust L1 principal component analysis and its Bayesian variational inference.
    Gao J
    Neural Comput; 2008 Feb; 20(2):555-72. PubMed ID: 18045015
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ensemble Neural Networks (ENN): A gradient-free stochastic method.
    Chen Y; Chang H; Meng J; Zhang D
    Neural Netw; 2019 Feb; 110():170-185. PubMed ID: 30562650
    [TBL] [Abstract][Full Text] [Related]  

  • 26. On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.
    Cheng D; Nguyen MN; Gao J; Shi D
    Neural Netw; 2013 Dec; 48():173-9. PubMed ID: 24055959
    [TBL] [Abstract][Full Text] [Related]  

  • 27. DCT-based complexity regularization for EM tomographic reconstruction.
    Mignotte M; Meunier J; Soucy JP
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):801-5. PubMed ID: 18270021
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Variational Bayesian approach to canonical correlation analysis.
    Wang C
    IEEE Trans Neural Netw; 2007 May; 18(3):905-10. PubMed ID: 17526355
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome.
    Marcos JV; Hornero R; Alvarez D; Nabney IT; Del Campo F; Zamarrón C
    Physiol Meas; 2010 Mar; 31(3):375-94. PubMed ID: 20130342
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, three-layer nets and ME-RBF-SVM models.
    Xu L
    Int J Neural Syst; 2001 Feb; 11(1):43-69. PubMed ID: 11310554
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification.
    Ng SK; McLachlan GJ
    IEEE Trans Neural Netw; 2004 May; 15(3):738-49. PubMed ID: 15384560
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Software reliability prediction using recurrent neural network with Bayesian regularization.
    Tian L; Noore A
    Int J Neural Syst; 2004 Jun; 14(3):165-74. PubMed ID: 15243949
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Divergence measures and a general framework for local variational approximation.
    Watanabe K; Okada M; Ikeda K
    Neural Netw; 2011 Dec; 24(10):1102-9. PubMed ID: 21719252
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks.
    Peña JM; Lozano JA; Larrañaga P
    Evol Comput; 2005; 13(1):43-66. PubMed ID: 15901426
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Adaptive learning via selectionism and Bayesianism, Part I: connection between the two.
    Zhang J
    Neural Netw; 2009 Apr; 22(3):220-8. PubMed ID: 19386469
    [TBL] [Abstract][Full Text] [Related]  

  • 36. RKHS Bayes discriminant: a subspace constrained nonlinear feature projection for signal detection.
    Ozertem U; Erdogmus D
    IEEE Trans Neural Netw; 2009 Jul; 20(7):1195-203. PubMed ID: 19497813
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The context-tree kernel for strings.
    Cuturi M; Vert JP
    Neural Netw; 2005 Oct; 18(8):1111-23. PubMed ID: 16198086
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Mixed Bayesian networks: a mixture of Gaussian distributions.
    Chevrolat JP; Rutigliano F; Golmard JL
    Methods Inf Med; 1994 Dec; 33(5):535-42. PubMed ID: 7869953
    [TBL] [Abstract][Full Text] [Related]  

  • 39. TRUST-TECH-based expectation maximization for learning finite mixture models.
    Reddy CK; Chiang HD; Rajaratnam B
    IEEE Trans Pattern Anal Mach Intell; 2008 Jul; 30(7):1146-57. PubMed ID: 18550899
    [TBL] [Abstract][Full Text] [Related]  

  • 40. An MLP training algorithm taking into account known errors on inputs and outputs.
    Svensson J
    Int J Neural Syst; 2002 Oct; 12(5):369-79. PubMed ID: 12424808
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.