BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

257 related articles for article (PubMed ID: 19409057)

  • 1. Limited stochastic meta-descent for kernel-based online learning.
    He W
    Neural Comput; 2009 Sep; 21(9):2667-86. PubMed ID: 19409057
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SAKM: self-adaptive kernel machine. A kernel-based algorithm for online clustering.
    Amadou Boubacar H; Lecoeuche S; Maouche S
    Neural Netw; 2008 Nov; 21(9):1287-301. PubMed ID: 18835695
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Online adaptive decision trees.
    Basak J
    Neural Comput; 2004 Sep; 16(9):1959-81. PubMed ID: 15265330
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems.
    Vrabie D; Lewis F
    Neural Netw; 2009 Apr; 22(3):237-46. PubMed ID: 19362449
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A scalable kernel-based semisupervised metric learning algorithm with out-of-sample generalization ability.
    Yeung DY; Chang H; Dai G
    Neural Comput; 2008 Nov; 20(11):2839-61. PubMed ID: 18439136
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A linear recurrent kernel online learning algorithm with sparse updates.
    Fan H; Song Q
    Neural Netw; 2014 Feb; 50():142-53. PubMed ID: 24300551
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning.
    Steil JJ
    Neural Netw; 2007 Apr; 20(3):353-64. PubMed ID: 17517491
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An online incremental learning pattern-based reasoning system.
    Furao S; Sudo A; Hasegawa O
    Neural Netw; 2010 Jan; 23(1):135-43. PubMed ID: 19556104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convergence analysis of online gradient method for BP neural networks.
    Wu W; Wang J; Cheng M; Li Z
    Neural Netw; 2011 Jan; 24(1):91-8. PubMed ID: 20870390
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Partial distortion entropy maximization for online data clustering.
    Takizawa H; Kobayashi H
    Neural Netw; 2007 Sep; 20(7):819-31. PubMed ID: 17683903
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The general inefficiency of batch training for gradient descent learning.
    Wilson DR; Martinez TR
    Neural Netw; 2003 Dec; 16(10):1429-51. PubMed ID: 14622875
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Experiments with AdaBoost.RT, an improved boosting scheme for regression.
    Shrestha DL; Solomatine DP
    Neural Comput; 2006 Jul; 18(7):1678-710. PubMed ID: 16764518
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SemiBoost: boosting for semi-supervised learning.
    Mallapragada PK; Jin R; Jain AK; Liu Y
    IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Implementing online natural gradient learning: problems and solutions.
    Wan W
    IEEE Trans Neural Netw; 2006 Mar; 17(2):317-29. PubMed ID: 16566461
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning representations for object classification using multi-stage optimal component analysis.
    Wu Y; Liu X; Mio W
    Neural Netw; 2008; 21(2-3):214-21. PubMed ID: 18234472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fault-tolerant nonlinear adaptive flight control using sliding mode online learning.
    Krüger T; Schnetter P; Placzek R; Vörsmann P
    Neural Netw; 2012 Aug; 32():267-74. PubMed ID: 22386784
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A biologically motivated visual memory architecture for online learning of objects.
    Kirstein S; Wersing H; Körner E
    Neural Netw; 2008 Jan; 21(1):65-77. PubMed ID: 18182276
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The learning vector quantization algorithm applied to automatic text classification tasks.
    Martín-Valdivia MT; Ureña-López LA; García-Vega M
    Neural Netw; 2007 Aug; 20(6):748-56. PubMed ID: 17368839
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Theory and algorithm for learning with dissimilarity functions.
    Wang L; Sugiyama M; Yang C; Hatano K; Feng J
    Neural Comput; 2009 May; 21(5):1459-84. PubMed ID: 19718819
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.