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ICML
1998
IEEE
16 years 1 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
AIED
2007
Springer
15 years 7 months ago
Learning Engagement: What Actions of Learners Could Best Predict It?
One important aspect of motivation is engagement. In order to learn, students need to be engaged in the learning activities. However, that does not always happen due to various fac...
Mihaela Cocea
ICALT
2009
IEEE
15 years 4 months ago
Using Students' Devices and a No-to-Low Cost Online Tool to Support Interactive Experiential mLearning
The rapid evolution and ubiquitous use of mobile devices is an historical opportunity to improve experiential interactivity in education practices to support “deep” learning. ...
Andrew Litchfield, Ryszard Raban, Laurel Evelyn Dy...
JOCN
2011
78views more  JOCN 2011»
14 years 8 months ago
Changes in Cerebello-motor Connectivity during Procedural Learning by Actual Execution and Observation
■ The cerebellum is involved in motor learning of new procedures both during actual execution of a motor task and during observational training. These processes are thought to d...
Sara Torriero, Massimiliano Oliveri, Giacomo Koch,...
HIS
2004
15 years 2 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...