BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

281 related articles for article (PubMed ID: 16759835)

  • 21. Generation of optimal artificial neural networks using a pattern search algorithm: application to approximation of chemical systems.
    Ihme M; Marsden AL; Pitsch H
    Neural Comput; 2008 Feb; 20(2):573-601. PubMed ID: 18045024
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Optimally regularised kernel Fisher discriminant classification.
    Saadi K; Talbot NL; Cawley GC
    Neural Netw; 2007 Sep; 20(7):832-41. PubMed ID: 17600674
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Efficiently updating and tracking the dominant kernel principal components.
    Hoegaerts L; De Lathauwer L; Goethals I; Suykens JA; Vandewalle J; De Moor B
    Neural Netw; 2007 Mar; 20(2):220-9. PubMed ID: 17234385
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Entropy-based kernel mixture modeling for topographic map formation.
    Van Hulle MM
    IEEE Trans Neural Netw; 2004 Jul; 15(4):850-8. PubMed ID: 15461078
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The MEE principle in data classification: a perceptron-based analysis.
    Silva LM; de Sá JM; Alexandre LA
    Neural Comput; 2010 Oct; 22(10):2698-728. PubMed ID: 20569178
    [TBL] [Abstract][Full Text] [Related]  

  • 27. On feature extraction via kernels.
    Yang C; Wang L; Feng J
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):553-7. PubMed ID: 18348937
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Magnification control in self-organizing maps and neural gas.
    Villmann T; Claussen JC
    Neural Comput; 2006 Feb; 18(2):446-69. PubMed ID: 16378522
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Efficient tracking of the dominant eigenspace of a normalized kernel matrix.
    Gins G; Smets IY; Van Impe JF
    Neural Comput; 2008 Feb; 20(2):523-54. PubMed ID: 18047412
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Graph-based semisupervised learning.
    Culp M; Michailidis G
    IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):174-9. PubMed ID: 18000333
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Spherical self-organizing map using efficient indexed geodesic data structure.
    Wu Y; Takatsuka M
    Neural Netw; 2006; 19(6-7):900-10. PubMed ID: 16787738
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Self-organizing maps with dynamic learning for signal reconstruction.
    Cho J; Paiva AR; Kim SP; Sanchez JC; Príncipe JC
    Neural Netw; 2007 Mar; 20(2):274-84. PubMed ID: 17234384
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Extension of mixture-of-experts networks for binary classification of hierarchical data.
    Ng SK; McLachlan GJ
    Artif Intell Med; 2007 Sep; 41(1):57-67. PubMed ID: 17629686
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Growing hierarchical tree SOM: an unsupervised neural network with dynamic topology.
    Forti A; Foresti GL
    Neural Netw; 2006 Dec; 19(10):1568-80. PubMed ID: 16829025
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparison of universal approximators incorporating partial monotonicity by structure.
    Minin A; Velikova M; Lang B; Daniels H
    Neural Netw; 2010 May; 23(4):471-5. PubMed ID: 19796915
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms.
    Pehlivanli AC; Ersoy OK; Ibrikci T
    Int J Comput Biol Drug Des; 2008; 1(4):434-45. PubMed ID: 20063467
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Class distributions on SOM surfaces for feature extraction and object retrieval.
    Laaksonen JT; Markus Koskela J; Oja E
    Neural Netw; 2004; 17(8-9):1121-33. PubMed ID: 15555856
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Looking inside self-organizing map ensembles with resampling and negative correlation learning.
    Scherbart A; Nattkemper TW
    Neural Netw; 2011 Jan; 24(1):130-41. PubMed ID: 20846822
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Learning eigenfunctions links spectral embedding and kernel PCA.
    Bengio Y; Delalleau O; Le Roux N; Paiement JF; Vincent P; Ouimet M
    Neural Comput; 2004 Oct; 16(10):2197-219. PubMed ID: 15333211
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps.
    Schulz R; Reggia JA
    Neural Comput; 2004 Mar; 16(3):535-61. PubMed ID: 15006091
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.