( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Adaptive natural gradient learning algorithms for various stochastic models.

, , и . Neural Networks, 13 (7): 755-764 (2000)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Nabil Amari

Abdelkerim Amari

Ahmed Amari

Victoria Ichizli

Nicole Shunga

 

Другие публикации лиц с тем же именем

Computations Inspired from the Brain.. UC, том 6079 из Lecture Notes in Computer Science, стр. 1. Springer, (2010)The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction., , и . IWANN (2), том 2085 из Lecture Notes in Computer Science, стр. 786-793. Springer, (2001)On Density Estimation under Relative Entropy Loss Criterion., и . Probl. Inf. Transm., 38 (4): 323-346 (2002)Independent component analysis by the information-theoretic approach with mixture of densities., , , и . ICNN, стр. 1821-1826. IEEE, (1997)Dual cascade networks for blind signal extraction., , и . ICNN, стр. 2135-2140. IEEE, (1997)Interpolating between Optimal Transport and MMD using Sinkhorn Divergences, , , , , и . Proceedings of Machine Learning Research, том 89 из Proceedings of Machine Learning Research, стр. 2681--2690. PMLR, (16--18 Apr 2019)Fisher Information and Natural Gradient Learning in Random Deep Networks, , и . Proceedings of Machine Learning Research, том 89 из Proceedings of Machine Learning Research, стр. 694--702. PMLR, (16--18 Apr 2019)Information geometry of statistical inference - an overview.. ITW, стр. 86-89. IEEE, (2002)New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation., , и . ICASSP (5), стр. 621-624. IEEE, (2006)Neuroinformatics - Introduction., , и . Neural Networks, 16 (9): 1235-1236 (2003)