This paper examines the learning behavior of online students in an asynchronous learning environment. We employ the theoretical lens of an online community of inquiry, to understa...
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
—Coordinated Checkpoint/Restart (C/R) is a widely deployed strategy to achieve fault-tolerance. However, C/R by itself is not capable enough to meet the demands of upcoming exasc...