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 *

111 related articles for article (PubMed ID: 18249822)

  • 1. Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification.
    Mak MW; Kung SY
    IEEE Trans Neural Netw; 2000; 11(4):961-9. PubMed ID: 18249822
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Text-independent speaker verification using Minimal Resource Allocation Networks.
    Guojie L; Saratchandran P; Sundararajan N
    Int J Neural Syst; 2004 Dec; 14(6):347-54. PubMed ID: 15714602
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A comparative study on kernel-based probabilistic neural networks for speaker verification.
    Yiu KK; Mak MW; Kung SY
    Int J Neural Syst; 2002 Oct; 12(5):381-97. PubMed ID: 12424809
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling.
    Huda S; Yearwood J; Togneri R
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):182-97. PubMed ID: 19068441
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Speaker verification based on the fusion of speech acoustics and inverted articulatory signals.
    Li M; Kim J; Lammert A; Ghosh PK; Ramanarayanan V; Narayanan S
    Comput Speech Lang; 2016 Mar; 36():196-211. PubMed ID: 28496292
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Factor analysis of auto-associative neural networks with application in speaker verification.
    Garimella S; Hermansky H
    IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):522-8. PubMed ID: 24808374
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reformulated radial basis neural networks trained by gradient descent.
    Karayiannis NB
    IEEE Trans Neural Netw; 1999; 10(3):657-71. PubMed ID: 18252566
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modeling.
    Huda S; Yearwood J; Togneri R
    IEEE Trans Cybern; 2014 Oct; 44(10):1962-77. PubMed ID: 24686310
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification.
    Ng SK; McLachlan GJ
    IEEE Trans Neural Netw; 2004 May; 15(3):738-49. PubMed ID: 15384560
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [The use of the expectation-maximization (EM) algorithm for maximum likelihood estimation of gametic frequencies of multilocus polymorphic codominant systems based on sampled population data].
    Sergeev AS; Arapova RK
    Genetika; 2002 Mar; 38(3):407-18. PubMed ID: 11963570
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An incremental design of radial basis function networks.
    Yu H; Reiner PD; Xie T; Bartczak T; Wilamowski BM
    IEEE Trans Neural Netw Learn Syst; 2014 Oct; 25(10):1793-803. PubMed ID: 25203995
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learning speaker-specific characteristics with a deep neural architecture.
    Chen K; Salman A
    IEEE Trans Neural Netw; 2011 Nov; 22(11):1744-56. PubMed ID: 21954206
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On the construction and training of reformulated radial basis function neural networks.
    Karayiannis NB; Randolph-Gips MM
    IEEE Trans Neural Netw; 2003; 14(4):835-46. PubMed ID: 18238063
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalization performance of radial basis function networks.
    Lei Y; Ding L; Zhang W
    IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):551-64. PubMed ID: 25720010
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Maximum-entropy expectation-maximization algorithm for image reconstruction and sensor field estimation.
    Hong H; Schonfeld D
    IEEE Trans Image Process; 2008 Jun; 17(6):897-907. PubMed ID: 18482885
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unsupervised speaker adaptation for speaker independent acoustic to articulatory speech inversion.
    Sivaraman G; Mitra V; Nam H; Tiede M; Espy-Wilson C
    J Acoust Soc Am; 2019 Jul; 146(1):316. PubMed ID: 31370597
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient algorithm for training interpolation RBF networks with equally spaced nodes.
    Huan HX; Hien DT; Tue HH
    IEEE Trans Neural Netw; 2011 Jun; 22(6):982-8. PubMed ID: 21558059
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sensitivity analysis applied to the construction of radial basis function networks.
    Shi D; Yeung DS; Gao J
    Neural Netw; 2005 Sep; 18(7):951-7. PubMed ID: 15939573
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Approximating Gaussian mixture model or radial basis function network with multilayer perceptron.
    Patrikar AM
    IEEE Trans Neural Netw Learn Syst; 2013 Jul; 24(7):1161-6. PubMed ID: 24808530
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction of tunable radial basis function networks using orthogonal forward selection.
    Chen S; Hong X; Luk BL; Harris CJ
    IEEE Trans Syst Man Cybern B Cybern; 2009 Apr; 39(2):457-66. PubMed ID: 19095548
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.