BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 18255668)

  • 1. Neural-network feature selector.
    Setiono R; Liu H
    IEEE Trans Neural Netw; 1997; 8(3):654-62. PubMed ID: 18255668
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Input feature selection for classification problems.
    Kwak N; Choi CH
    IEEE Trans Neural Netw; 2002; 13(1):143-59. PubMed ID: 18244416
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Extracting rules from neural networks by pruning and hidden-unit splitting.
    Setiono R
    Neural Comput; 1997 Jan; 9(1):205-25. PubMed ID: 9117899
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Relevant, irredundant feature selection and noisy example elimination.
    Lashkia GV; Anthony L
    IEEE Trans Syst Man Cybern B Cybern; 2004 Apr; 34(2):888-97. PubMed ID: 15376837
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A formal selection and pruning algorithm for feedforward artificial neural network optimization.
    Ponnapalli PS; Ho KC; Thomson M
    IEEE Trans Neural Netw; 1999; 10(4):964-8. PubMed ID: 18252597
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
    Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
    Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation.
    Vuković N; Miljković Z
    Neural Netw; 2013 Oct; 46():210-26. PubMed ID: 23811384
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Research on EEG classification with evolving cascade neural networks].
    Hao D; Ruan X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):262-5. PubMed ID: 16706343
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of high dimensional biomedical data based on feature selection using redundant removal.
    Zhang B; Cao P
    PLoS One; 2019; 14(4):e0214406. PubMed ID: 30964868
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A penalty-function approach for pruning feedforward neural networks.
    Setiono R
    Neural Comput; 1997 Jan; 9(1):185-204. PubMed ID: 9117898
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Attribute clustering for grouping, selection, and classification of gene expression data.
    Au WH; Chan KC; Wong AK; Wang Y
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(2):83-101. PubMed ID: 17044174
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An iterative pruning algorithm for feedforward neural networks.
    Castellano G; Fanelli AM; Pelillo M
    IEEE Trans Neural Netw; 1997; 8(3):519-31. PubMed ID: 18255656
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Constructive neural-network learning algorithms for pattern classification.
    Parekh R; Yang J; Honavar V
    IEEE Trans Neural Netw; 2000; 11(2):436-51. PubMed ID: 18249773
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma.
    Wang X; Yang J; Jensen R; Liu X
    Comput Methods Programs Biomed; 2006 Aug; 83(2):147-56. PubMed ID: 16893588
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neural architecture design based on extreme learning machine.
    Bueno-Crespo A; García-Laencina PJ; Sancho-Gómez JL
    Neural Netw; 2013 Dec; 48():19-24. PubMed ID: 23892908
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
    Huynh HT; Won Y; Kim JJ
    Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
    Tong DL; Schierz AC
    Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel maximum-margin training algorithms for supervised neural networks.
    Ludwig O; Nunes U
    IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm.
    Maji P; Garai P
    IEEE Trans Cybern; 2013 Aug; 43(4):1166-77. PubMed ID: 26502427
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm.
    Lu Y; Sundararajan N; Saratchandran P
    IEEE Trans Neural Netw; 1998; 9(2):308-18. PubMed ID: 18252454
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.