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 *

179 related articles for article (PubMed ID: 12180406)

  • 1. Joint entropy maximization in kernel-based topographic maps.
    Van Hulle MM
    Neural Comput; 2002 Aug; 14(8):1887-906. PubMed ID: 12180406
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Kernel-based topographic map formation by local density modeling.
    Van Hulle MM
    Neural Comput; 2002 Jul; 14(7):1561-73. PubMed ID: 12079546
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Kernel-based topographic map formation achieved with an information-theoretic approach.
    Van Hulle MM
    Neural Netw; 2002; 15(8-9):1029-39. PubMed ID: 12416692
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Topographic map formation of factorized Edgeworth-expanded kernels.
    Van Hulle MM
    Neural Netw; 2006; 19(6-7):744-50. PubMed ID: 16759836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Maximum likelihood topographic map formation.
    Van Hulle MM
    Neural Comput; 2005 Mar; 17(3):503-13. PubMed ID: 15802004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic analyses of information encoding in neural ensembles.
    Barbieri R; Frank LM; Nguyen DP; Quirk MC; Solo V; Wilson MA; Brown EN
    Neural Comput; 2004 Feb; 16(2):277-307. PubMed ID: 15006097
    [TBL] [Abstract][Full Text] [Related]  

  • 9. On the maximization of information flow between spiking neurons.
    Parra LC; Beck JM; Bell AJ
    Neural Comput; 2009 Nov; 21(11):2991-3009. PubMed ID: 19635018
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the equivalence between kernel self-organising maps and self-organising mixture density networks.
    Yin H
    Neural Netw; 2006; 19(6-7):780-4. PubMed ID: 16759835
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neurons.
    Fiori S
    Neural Comput; 2003 Dec; 15(12):2909-29. PubMed ID: 14629873
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Minimax mutual information approach for independent component analysis.
    Erdogmus D; Hild KE; Rao YN; Príncipe JC
    Neural Comput; 2004 Jun; 16(6):1235-52. PubMed ID: 15130248
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The shape of neural dependence.
    Jenison RL; Reale RA
    Neural Comput; 2004 Apr; 16(4):665-72. PubMed ID: 15025825
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
    Auer P; Burgsteiner H; Maass W
    Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Entropy analysis of neuronal spike train synchrony.
    Kajikawa Y; Hackett TA
    J Neurosci Methods; 2005 Nov; 149(1):90-3. PubMed ID: 16026849
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue.
    Torres O; Eriksson J; Moreno JM; Villa A
    Biosystems; 2004; 76(1-3):201-8. PubMed ID: 15351143
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-organizing neural projections.
    Kohonen T
    Neural Netw; 2006; 19(6-7):723-33. PubMed ID: 16774731
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Synchrony and asynchrony in a fully stochastic neural network.
    DeVille RE; Peskin CS
    Bull Math Biol; 2008 Aug; 70(6):1608-33. PubMed ID: 18512106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Locality of global stochastic interaction in directed acyclic networks.
    Ay N
    Neural Comput; 2002 Dec; 14(12):2959-80. PubMed ID: 12487800
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.