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 *

218 related articles for article (PubMed ID: 23973870)

  • 1. Solving graph data issues using a layered architecture approach with applications to web spam detection.
    Scarselli F; Tsoi AC; Hagenbuchner M; Noi LD
    Neural Netw; 2013 Dec; 48():78-90. PubMed ID: 23973870
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Snap-drift neural network for self-organisation and sequence learning.
    Palmer-Brown D; Jayne C
    Neural Netw; 2011 Oct; 24(8):897-905. PubMed ID: 21723705
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meta-learning approach to neural network optimization.
    Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
    Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An incremental neural network with a reduced architecture.
    Ciarelli PM; Oliveira E; Salles EO
    Neural Netw; 2012 Nov; 35():70-81. PubMed ID: 22954480
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fuzzy rough sets, and a granular neural network for unsupervised feature selection.
    Ganivada A; Ray SS; Pal SK
    Neural Netw; 2013 Dec; 48():91-108. PubMed ID: 23994187
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A high-order graph generating self-organizing structure.
    Rizzo R
    Int J Neural Syst; 2005 Oct; 15(5):349-55. PubMed ID: 16278939
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An impatient evolutionary algorithm with probabilistic tabu search for unified solution of some NP-hard problems in graph and set theory via clique finding.
    Guturu P; Dantu R
    IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):645-66. PubMed ID: 18558530
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An enhanced self-organizing incremental neural network for online unsupervised learning.
    Furao S; Ogura T; Hasegawa O
    Neural Netw; 2007 Oct; 20(8):893-903. PubMed ID: 17826947
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Efficient self-organizing multilayer neural network for nonlinear system modeling.
    Han HG; Wang LD; Qiao JF
    Neural Netw; 2013 Jul; 43():22-32. PubMed ID: 23500497
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances.
    Hajjar C; Hamdan H
    Neural Netw; 2013 Oct; 46():124-32. PubMed ID: 23727709
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A forecast-based STDP rule suitable for neuromorphic implementation.
    Davies S; Galluppi F; Rast AD; Furber SB
    Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting and preventing error propagation via competitive learning.
    Silva TC; Zhao L
    Neural Netw; 2013 May; 41():70-84. PubMed ID: 23200192
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Graph based representations of density distribution and distances for self-organizing maps.
    Tasdemir K
    IEEE Trans Neural Netw; 2010 Mar; 21(3):520-6. PubMed ID: 20100673
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering.
    Zorkadis V; Karras DA; Panayotou M
    Neural Netw; 2005; 18(5-6):799-807. PubMed ID: 16111865
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The graph neural network model.
    Scarselli F; Gori M; Tsoi AC; Hagenbuchner M; Monfardini G
    IEEE Trans Neural Netw; 2009 Jan; 20(1):61-80. PubMed ID: 19068426
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A neural network algorithm for semi-supervised node label learning from unbalanced data.
    Frasca M; Bertoni A; Re M; Valentini G
    Neural Netw; 2013 Jul; 43():84-98. PubMed ID: 23500503
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Autonomous Growing Neural Gas for applications with time constraint: optimal parameter estimation.
    García-Rodríguez J; Angelopoulou A; García-Chamizo JM; Psarrou A; Orts Escolano S; Morell Giménez V
    Neural Netw; 2012 Aug; 32():196-208. PubMed ID: 22386599
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An incremental regression method for graph structured data.
    Carozza M; Rampone S
    Neural Netw; 2005 Oct; 18(8):1087-92. PubMed ID: 16159708
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning graph matching.
    Caetano TS; McAuley JJ; Cheng L; Le QV; Smola AJ
    IEEE Trans Pattern Anal Mach Intell; 2009 Jun; 31(6):1048-58. PubMed ID: 19372609
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.