Stochastic Approximation Algorithm with Randomization at the Input for Unsupervised Parameters Estimation of Gaussian Mixture Model with Sparse Parameters-Reference-Cited by-同舟云学术

Stochastic Approximation Algorithm with Randomization at the Input for Unsupervised Parameters Estimation of Gaussian Mixture Model with Sparse Parameters

Published:2019-08 Issue:8 Volume:80 Page:1403-1418
ISSN:0005-1179
Container-title:Automation and Remote Control
language:en
Short-container-title:Autom Remote Control

Author:

Boiarov A. A.,Granichin O. N.

Publisher

Pleiades Publishing Ltd

Subject

Control and Systems Engineering,Electrical and Electronic Engineering

Link

http://link.springer.com/content/pdf/10.1134/S0005117919080034.pdf

Reference25 articles.

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3. Kiefer, J. and Wolfowitz, J., Stochastic Estimation of the Maximum of a Regression Function, Ann. Math. Stat., 1952, 23, 3, pp. 462–466.

4. Blum, J.R., Multidimensional Stochastic Approximation Methods, Ann. Math. Stat., 1954, 25, 4, pp. 737–744.

5. Granichin, O.N., A Stochastic Recursive Procedure with Correlated Noises in the Observation, That Employs Trial Perturbations at the Input, Vestn. Leningr. Univ., Ser. 1, 1989, no. 1(4), pp. 19–21.

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