This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Event-based programming has been studied little, yet recent work suggests that language paradigm can predict programming strategies and performance. A contextual inquiry of four e...
Desktop Grids are rapidly gaining popularity as a costeffective computing platform for the execution of applications with extensive computing needs. As opposed to grids and cluste...
We explore the frequency and impact of misunderstandings in an existing corpus of tutorial dialogues in which a student appears to get an interpretation that is not in line with wh...
Pamela W. Jordan, Diane J. Litman, Michael Lipschu...