BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 23509447)

  • 1. Single directional SMO algorithm for least squares support vector machines.
    Shao X; Wu K; Liao B
    Comput Intell Neurosci; 2013; 2013():968438. PubMed ID: 23509447
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SMO-based pruning methods for sparse least squares support vector machines.
    Zeng X; Chen XW
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1541-6. PubMed ID: 16342494
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rigorous proof of termination of SMO algorithm for support vector machines.
    Takahashi N; Nishi T
    IEEE Trans Neural Netw; 2005 May; 16(3):774-6. PubMed ID: 15941003
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Working set selection using functional gain for LS-SVM.
    Bo L; Jiao L; Wang L
    IEEE Trans Neural Netw; 2007 Sep; 18(5):1541-4. PubMed ID: 18220204
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining DC algorithms (DCAs) and decomposition techniques for the training of nonpositive-semidefinite kernels.
    Akoa FB
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1854-72. PubMed ID: 18990641
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Global convergence of SMO algorithm for support vector regression.
    Takahashi N; Guo J; Nishi T
    IEEE Trans Neural Netw; 2008 Jun; 19(6):971-82. PubMed ID: 18541498
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A study on SMO-type decomposition methods for support vector machines.
    Chen PH; Fan RE; Lin CJ
    IEEE Trans Neural Netw; 2006 Jul; 17(4):893-908. PubMed ID: 16856653
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A support vector machine using the lazy learning approach for multi-class classification.
    Comak E; Arslan A
    J Med Eng Technol; 2006; 30(2):73-7. PubMed ID: 16531345
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Training sparse least squares support vector machines by the QR decomposition.
    Xia XL
    Neural Netw; 2018 Oct; 106():175-184. PubMed ID: 30075354
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Global convergence of decomposition learning methods for support vector machines.
    Takahashi N; Nishi T
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1362-9. PubMed ID: 17131653
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semisupervised least squares support vector machine.
    Adankon MM; Cheriet M; Biem A
    IEEE Trans Neural Netw; 2009 Dec; 20(12):1858-70. PubMed ID: 19963446
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A tutorial on support vector machine-based methods for classification problems in chemometrics.
    Luts J; Ojeda F; Van de Plas R; De Moor B; Van Huffel S; Suykens JA
    Anal Chim Acta; 2010 Apr; 665(2):129-45. PubMed ID: 20417323
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An SMO algorithm for the potential support vector machine.
    Knebel T; Hochreiter S; Obermayer K
    Neural Comput; 2008 Jan; 20(1):271-87. PubMed ID: 18045009
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Incremental training of support vector machines.
    Shilton A; Palaniswami M; Ralph D; Tsoi AC
    IEEE Trans Neural Netw; 2005 Jan; 16(1):114-31. PubMed ID: 15732393
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method.
    Taran S; Bajaj V
    Comput Methods Programs Biomed; 2019 May; 173():157-165. PubMed ID: 31046991
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An overview and performance evaluation of classification-based least squares trained filters.
    Shao L; Zhang H; de Haan G
    IEEE Trans Image Process; 2008 Oct; 17(10):1772-82. PubMed ID: 18784026
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gene selection algorithms for microarray data based on least squares support vector machine.
    Tang EK; Suganthan PN; Yao X
    BMC Bioinformatics; 2006 Feb; 7():95. PubMed ID: 16504159
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The construction of support vector machine classifier using the firefly algorithm.
    Chao CF; Horng MH
    Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nesting one-against-one algorithm based on SVMs for pattern classification.
    Liu B; Hao Z; Tsang EC
    IEEE Trans Neural Netw; 2008 Dec; 19(12):2044-52. PubMed ID: 19054729
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.