Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
We describe our work on seeding and building a developmental learning community for recruiting and retaining women in educational programs and careers related to computing and inf...
Mary Beth Rosson, Hansa Sinha, Dejin Zhao, John M....
: In this paper, we propose a new approach to improve the translation quality by adding the Key-Words of a sentence to the parallel corpus. The main idea of the approach is to find...
This paper describes how visual and verbal learning styles have been successfully integrated into an adaptive educational environment. User trials of this system were carried out,...
Elizabeth J. Brown, Craig D. Stewart, Tim J. Brail...