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 *

192 related articles for article (PubMed ID: 29126068)

  • 1. Margined winner-take-all: New learning rule for pattern recognition.
    Fukushima K
    Neural Netw; 2018 Jan; 97():152-161. PubMed ID: 29126068
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Efficient IntVec: High recognition rate with reduced computational cost.
    Fukushima K
    Neural Netw; 2019 Nov; 119():323-331. PubMed ID: 31499356
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Neocognitron trained with winner-kill-loser rule.
    Fukushima K
    Neural Netw; 2010 Sep; 23(7):926-38. PubMed ID: 20494552
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Training multi-layered neural network neocognitron.
    Fukushima K
    Neural Netw; 2013 Apr; 40():18-31. PubMed ID: 23380595
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interpolating vectors for robust pattern recognition.
    Fukushima K
    Neural Netw; 2007 Oct; 20(8):904-16. PubMed ID: 17714913
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial vision by multi-layered neural networks: neocognitron and its advances.
    Fukushima K
    Neural Netw; 2013 Jan; 37():103-19. PubMed ID: 23098752
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Increasing robustness against background noise: visual pattern recognition by a neocognitron.
    Fukushima K
    Neural Netw; 2011 Sep; 24(7):767-78. PubMed ID: 21482455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Representation learning using event-based STDP.
    Tavanaei A; Masquelier T; Maida A
    Neural Netw; 2018 Sep; 105():294-303. PubMed ID: 29894846
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Few-shot learning in deep networks through global prototyping.
    Blaes S; Burwick T
    Neural Netw; 2017 Oct; 94():159-172. PubMed ID: 28793243
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks.
    Dlugosz R; Talaska T; Pedrycz W; Wojtyna R
    IEEE Trans Neural Netw; 2010 Jun; 21(6):961-71. PubMed ID: 20421180
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Anticipation-based temporal sequences learning in hierarchical structure.
    Starzyk JA; He H
    IEEE Trans Neural Netw; 2007 Mar; 18(2):344-58. PubMed ID: 17385624
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of convolutional neural networks for visual recognition.
    Nebauer C
    IEEE Trans Neural Netw; 1998; 9(4):685-96. PubMed ID: 18252491
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks.
    Cherry KM; Qian L
    Nature; 2018 Jul; 559(7714):370-376. PubMed ID: 29973727
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Guiding hidden layer representations for improved rule extraction from neural networks.
    Huynh TQ; Reggia JA
    IEEE Trans Neural Netw; 2011 Feb; 22(2):264-75. PubMed ID: 21138801
    [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. A hybrid learning network for shift, orientation, and scaling invariant pattern recognition.
    Wang R
    Network; 2001 Nov; 12(4):493-512. PubMed ID: 11762901
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Maximum entropy methods for extracting the learned features of deep neural networks.
    Finnegan A; Song JS
    PLoS Comput Biol; 2017 Oct; 13(10):e1005836. PubMed ID: 29084280
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning with convolutional neural network in radiology.
    Yasaka K; Akai H; Kunimatsu A; Kiryu S; Abe O
    Jpn J Radiol; 2018 Apr; 36(4):257-272. PubMed ID: 29498017
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition.
    Chen X; Weng J; Lu W; Xu J; Weng J
    IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):3938-3952. PubMed ID: 28922128
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.