Utilizing technology for automated item generation is not a new idea. However, test items
used in commercial testing programs or in research are still predominantly written by …

This report presents results on a parallel implementation of the expectation‐maximization
(EM) algorithm for multidimensional latent variable models. The developments presented …

Expectation–Maximization (EM) is a popular approach for parameter estimation in many
applications, such as image understanding, document classification, and genome data …

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 …

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 …