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 *

135 related articles for article (PubMed ID: 33119617)

  • 21. Optimizing Kernel Machines Using Deep Learning.
    Song H; J Thiagarajan J; Sattigeri P; Spanias A
    IEEE Trans Neural Netw Learn Syst; 2018 Nov; 29(11):5528-5540. PubMed ID: 29993616
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Quantum Machine Learning in Feature Hilbert Spaces.
    Schuld M; Killoran N
    Phys Rev Lett; 2019 Feb; 122(4):040504. PubMed ID: 30768345
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new robust model of one-class classification by interval-valued training data using the triangular kernel.
    Utkin LV; Chekh AI
    Neural Netw; 2015 Sep; 69():99-110. PubMed ID: 26093040
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study.
    Lima CA; Coelho AL
    Artif Intell Med; 2011 Oct; 53(2):83-95. PubMed ID: 21852077
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Classification of EEG signals using a multiple kernel learning support vector machine.
    Li X; Chen X; Yan Y; Wei W; Wang ZJ
    Sensors (Basel); 2014 Jul; 14(7):12784-802. PubMed ID: 25036334
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Fast Reduced Kernel Extreme Learning Machine.
    Deng WY; Ong YS; Zheng QH
    Neural Netw; 2016 Apr; 76():29-38. PubMed ID: 26829605
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction.
    Pochet N; De Smet F; Suykens JA; De Moor BL
    Bioinformatics; 2004 Nov; 20(17):3185-95. PubMed ID: 15231531
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multiple Kernel Point Set Registration.
    Nguyen TM; Wu QM
    IEEE Trans Med Imaging; 2016 Jun; 35(6):1381-94. PubMed ID: 26841389
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Probabilistic Modeling of Conformational Space for 3D Machine Learning Approaches.
    Jahn A; Hinselmann G; Fechner N; Henneges C; Zell A
    Mol Inform; 2010 May; 29(5):441-55. PubMed ID: 27463199
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines.
    Jäger J; Krems RV
    Nat Commun; 2023 Feb; 14(1):576. PubMed ID: 36732519
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A practical approach to model selection for support vector machines with a Gaussian kernel.
    Varewyck M; Martens JP
    IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):330-40. PubMed ID: 20699214
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Learning Gaussian mixture models with entropy-based criteria.
    Penalver Benavent A; Escolano Ruiz F; Saez JM
    IEEE Trans Neural Netw; 2009 Nov; 20(11):1756-71. PubMed ID: 19770090
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
    Jayasumana S; Hartley R; Salzmann M; Li H; Harandi M
    IEEE Trans Pattern Anal Mach Intell; 2015 Dec; 37(12):2464-77. PubMed ID: 26539851
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Building sparse multiple-kernel SVM classifiers.
    Hu M; Chen Y; Kwok JT
    IEEE Trans Neural Netw; 2009 May; 20(5):827-39. PubMed ID: 19342346
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diagnosis of several diseases by using combined kernels with Support Vector Machine.
    Ibrikci T; Ustun D; Kaya IE
    J Med Syst; 2012 Jun; 36(3):1831-40. PubMed ID: 21222221
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Stochastic subset selection for learning with kernel machines.
    Rhinelander J; Liu XP
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):616-26. PubMed ID: 22049369
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning.
    Abibullaev B; An J; Jin SH; Lee SH; Moon JI
    Med Eng Phys; 2013 Dec; 35(12):1811-8. PubMed ID: 24054981
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A ℓ
    Cao P; Liu X; Zhang J; Li W; Zhao D; Huang M; Zaiane O
    Comput Methods Programs Biomed; 2017 Mar; 140():211-231. PubMed ID: 28254078
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A new Mercer sigmoid kernel for clinical data classification.
    Carrington AM; Fieguth PW; Chen HH
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6397-401. PubMed ID: 25571460
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.