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....
This position paper discusses different philosophical views of learning and the consequences of these different epistemologies on the design of online learning environments. Acade...
Understanding program dependencies in a computer program is essential for many software engineering tasks such as program understanding, testing, debugging, reverse engineering, a...
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...