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ECML
1993
Springer
15 years 10 months ago
Exploiting Context When Learning to Classify
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...
Peter D. Turney
PRL
2006
117views more  PRL 2006»
15 years 5 months ago
Feature selection in robust clustering based on Laplace mixture
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...
Aurélien Cord, Christophe Ambroise, Jean Pi...
CHI
2003
ACM
16 years 6 months ago
A contextual inquiry of expert programmers in an event-based programming environment
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...
Andrew Jensen Ko
IPPS
2009
IEEE
16 years 16 days ago
MGST: A framework for performance evaluation of Desktop Grids
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...
Majd Kokaly, Issam Al-Azzoni, Douglas G. Down
AIED
2009
Springer
16 years 14 days ago
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning
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...