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 *

98 related articles for article (PubMed ID: 18249984)

  • 41. Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.
    Wang XZ; Wang R; Xu C
    IEEE Trans Cybern; 2018 Feb; 48(2):703-715. PubMed ID: 28436910
    [TBL] [Abstract][Full Text] [Related]  

  • 42. On the decoding process in ternary error-correcting output codes.
    Escalera S; Pujol O; Radeva P
    IEEE Trans Pattern Anal Mach Intell; 2010 Jan; 32(1):120-34. PubMed ID: 19926903
    [TBL] [Abstract][Full Text] [Related]  

  • 43. RandomBoost: simplified multiclass boosting through randomization.
    Paisitkriangkrai S; Shen C; Shi Q; van den Hengel A
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):764-79. PubMed ID: 24807953
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Structural regularized support vector machine: a framework for structural large margin classifier.
    Xue H; Chen S; Yang Q
    IEEE Trans Neural Netw; 2011 Apr; 22(4):573-87. PubMed ID: 21385668
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A calibrated multiclass extension of AdaBoost.
    Rubin DB
    Stat Appl Genet Mol Biol; 2011 Nov; 10(1):. PubMed ID: 23089819
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Operator functional state classification using least-square support vector machine based recursive feature elimination technique.
    Yin Z; Zhang J
    Comput Methods Programs Biomed; 2014; 113(1):101-15. PubMed ID: 24138846
    [TBL] [Abstract][Full Text] [Related]  

  • 47. New results on error correcting output codes of kernel machines.
    Passerini A; Pontil M; Frasconi P
    IEEE Trans Neural Netw; 2004 Jan; 15(1):45-54. PubMed ID: 15387246
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Multiclass from binary: expanding one-versus-all, one-versus-one and ECOC-based approaches.
    Rocha A; Goldenstein SK
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):289-302. PubMed ID: 24807029
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Weighted quality estimates in machine learning.
    Budagyan L; Abagyan R
    Bioinformatics; 2006 Nov; 22(21):2597-603. PubMed ID: 16935929
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Descartes' rule of signs for radial basis function neural networks.
    Schmitt M
    Neural Comput; 2002 Dec; 14(12):2997-3011. PubMed ID: 12487802
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis.
    Van Gestel T; Suykens JA; Lanckriet G; Lambrechts A; De Moor B; Vandewalle J
    Neural Comput; 2002 May; 14(5):1115-47. PubMed ID: 11972910
    [TBL] [Abstract][Full Text] [Related]  

  • 52. On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses.
    Chakraborty S; Paul D; Das S
    IEEE Trans Cybern; 2023 Aug; 53(8):4779-4790. PubMed ID: 35609103
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Adaptive Stacked Generalization for Multiclass Motor Imagery-Based Brain Computer Interfaces.
    Nicolas-Alonso LF; Corralejo R; Gomez-Pilar J; Álvarez D; Hornero R
    IEEE Trans Neural Syst Rehabil Eng; 2015 Jul; 23(4):702-12. PubMed ID: 25680208
    [TBL] [Abstract][Full Text] [Related]  

  • 54. A comparison of methods for multiclass support vector machines.
    Hsu CW; Lin CJ
    IEEE Trans Neural Netw; 2002; 13(2):415-25. PubMed ID: 18244442
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Training multilayer perceptron classifiers based on a modified support vector method.
    Suykens JK; Vandewalle J
    IEEE Trans Neural Netw; 1999; 10(4):907-11. PubMed ID: 18252586
    [TBL] [Abstract][Full Text] [Related]  

  • 56. On the capabilities of higher-order neurons: a radial basis function approach.
    Schmitt M
    Neural Comput; 2005 Mar; 17(3):715-29. PubMed ID: 15802012
    [TBL] [Abstract][Full Text] [Related]  

  • 57. One-class-at-a-time removal sequence planning method for multiclass classification problems.
    Young CN; Yen CW; Pao YH; Nagurka ML
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1544-9. PubMed ID: 17131667
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Multiclass Imbalance Problems: Analysis and Potential Solutions.
    Shuo Wang ; Xin Yao
    IEEE Trans Syst Man Cybern B Cybern; 2012 Aug; 42(4):1119-30. PubMed ID: 22438514
    [TBL] [Abstract][Full Text] [Related]  

  • 59. VC-dimension of exterior visibility.
    Isler V; Kannan S; Daniilidis K; Valtr P
    IEEE Trans Pattern Anal Mach Intell; 2004 May; 26(5):667-71. PubMed ID: 15460289
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Evaluating the Vapnik-Chervonenkis dimension of artificial neural networks using the Poincaré polynomial.
    Carter MA; Oxley ME
    Neural Netw; 1999 Apr; 12(3):403-408. PubMed ID: 12662683
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.