M von Davier - ETS Research Report Series, 2016 - Wiley Online Library
This report presents results on a parallel implementation of the expectation‐maximization (EM) algorithm for multidimensional latent variable models. The developments presented …
J Yin, Y Zhang, L Gao - Journal of Parallel and Distributed Computing, 2018 - Elsevier
Expectation–Maximization (EM) is a popular approach for parameter estimation in many applications, such as image understanding, document classification, and genome data …
Y Pu, W Wu, Y Han, D Chen - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
With the advent of Massive Online Open Courses (MOOCs), the data scale of student learning behavior and knowledge mastery has significantly increased. In order to effectively …
We have provided a parallel implementation of Gaussian Mixture Model (GMM) Expectation Maximization algorithm using Apache Hama Bulk synchronous Parallel approach. Apache …
M Ghesmoune, M Lebbah, H Azzag… - … Conference on Big …, 2018 - ieeexplore.ieee.org
In recent years," Big Data" has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, health-care, finance, business, and ultimately our society …