Wu, Yihong, and Zhou, Harrison H. Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations. Retrieved from https://par.nsf.gov/biblio/10339861. Mathematical Statistics and Learning 4.3 Web. doi:10.4171/MSL/29.
Wu, Yihong, & Zhou, Harrison H. Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations. Mathematical Statistics and Learning, 4 (3). Retrieved from https://par.nsf.gov/biblio/10339861. https://doi.org/10.4171/MSL/29
Wu, Yihong, and Zhou, Harrison H.
"Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations". Mathematical Statistics and Learning 4 (3). Country unknown/Code not available. https://doi.org/10.4171/MSL/29.https://par.nsf.gov/biblio/10339861.
@article{osti_10339861,
place = {Country unknown/Code not available},
title = {Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations},
url = {https://par.nsf.gov/biblio/10339861},
DOI = {10.4171/MSL/29},
abstractNote = {},
journal = {Mathematical Statistics and Learning},
volume = {4},
number = {3},
author = {Wu, Yihong and Zhou, Harrison H.},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.