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» Learning Object Context for Adaptive Learning Design
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ICML
2009
IEEE
16 years 3 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
AIED
2005
Springer
15 years 7 months ago
Serious Games for Language Learning: How Much Game, How Much AI?
Modern computer games show potential not just for engaging and entertaining users, but also in promoting learning. Game designers employ a range of techniques to promote long-term ...
W. Lewis Johnson, Hannes Högni Vilhjál...
FECS
2007
86views Education» more  FECS 2007»
15 years 3 months ago
Providing Experiential Learning Through Transnational Teamwork
- The requirement for high standards of professionalism in graduating Computer Science and Information Technology students suggests the applicability of experiential learning. This...
Kirsten Wahlstrom, Susan Tyerman, Rebecca Witt, Ky...
LOCA
2005
Springer
15 years 7 months ago
Issues and Requirements for Bayesian Approaches in Context Aware Systems
Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior. Modelling approaches th...
Michael Angermann, Patrick Robertson, Thomas Stran...
PAMI
2006
138views more  PAMI 2006»
15 years 2 months ago
Context-Based Segmentation of Image Sequences
We describe an algorithm for context-based segmentation of visual data. New frames in an image sequence (video) are segmented based on the prior segmentation of earlier frames in ...
Jacob Goldberger, Hayit Greenspan