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 *

259 related articles for article (PubMed ID: 29890313)

  • 21. Deep neural mapping support vector machines.
    Li Y; Zhang T
    Neural Netw; 2017 Sep; 93():185-194. PubMed ID: 28646763
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
    Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
    Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Error minimized extreme learning machine with growth of hidden nodes and incremental learning.
    Feng G; Huang GB; Lin Q; Gay R
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Adaptive control of nonlinear system using online error minimum neural networks.
    Jia C; Li X; Wang K; Ding D
    ISA Trans; 2016 Nov; 65():125-132. PubMed ID: 27522102
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Sparse Bayesian extreme learning machine for multi-classification.
    Luo J; Vong CM; Wong PK
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):836-43. PubMed ID: 24807961
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Estimating the number of hidden neurons in a feedforward network using the singular value decomposition.
    Teoh EJ; Tan KC; Xiang C
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1623-9. PubMed ID: 17131674
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Extreme learning machine for regression and multiclass classification.
    Huang GB; Zhou H; Ding X; Zhang R
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
    Wang J; Deng Z; Luo X; Jiang Y; Wang S
    Neural Netw; 2016 Jun; 78():51-64. PubMed ID: 27049545
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification.
    Yang Y; Wu QM
    IEEE Trans Cybern; 2016 Dec; 46(12):2885-2898. PubMed ID: 26552104
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Dynamic extreme learning machine and its approximation capability.
    Zhang R; Lan Y; Huang GB; Xu ZB; Soh YC
    IEEE Trans Cybern; 2013 Dec; 43(6):2054-65. PubMed ID: 23757515
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine.
    Nayak DR; Dash R; Majhi B
    J Med Syst; 2017 Dec; 42(1):19. PubMed ID: 29218420
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees.
    Anam K; Al-Jumaily A
    Neural Netw; 2017 Jan; 85():51-68. PubMed ID: 27814466
    [TBL] [Abstract][Full Text] [Related]  

  • 34. BELM: Bayesian extreme learning machine.
    Soria-Olivas E; Gómez-Sanchis J; Martín JD; Vila-Francés J; Martínez M; Magdalena JR; Serrano AJ
    IEEE Trans Neural Netw; 2011 Mar; 22(3):505-9. PubMed ID: 21257373
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.
    Klein O; Kanter F; Kulbe H; Jank P; Denkert C; Nebrich G; Schmitt WD; Wu Z; Kunze CA; Sehouli J; Darb-Esfahani S; Braicu I; Lellmann J; Thiele H; Taube ET
    Proteomics Clin Appl; 2019 Jan; 13(1):e1700181. PubMed ID: 30471200
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Three learning phases for radial-basis-function networks.
    Schwenker F; Kestler HA; Palm G
    Neural Netw; 2001 May; 14(4-5):439-58. PubMed ID: 11411631
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse.
    Kim M
    Neural Netw; 2021 Dec; 144():591-602. PubMed ID: 34634606
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. [Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical].
    Yang HH; Luo ZC; Jiang SJ; Zhang XB; Yin LH
    Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Sep; 36(9):2774-9. PubMed ID: 30084593
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier.
    Subbulakshmi CV; Deepa SN
    ScientificWorldJournal; 2015; 2015():418060. PubMed ID: 26491713
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.