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ICML
2005
IEEE
16 years 7 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
PERCOM
2005
ACM
16 years 6 months ago
Hoarding Content in M-Learning Context
With the advances in mobile technologies is now possible to support learners and teachers activities on the move. We analyzed the functionalities that should be provided by a gene...
Anna Trifonova, Marco Ronchetti
ACCV
2009
Springer
16 years 1 months ago
Interactive Super-Resolution through Neighbor Embedding
Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is e...
Jian Pu, Junping Zhang, Peihong Guo, Xiaoru Yuan
ICALT
2008
IEEE
16 years 1 months ago
A Framework for Semantic Group Formation
Collaboration has long been considered an effective approach to learning. However, forming optimal groups can be a time consuming and complex task. Different approaches have been ...
Asma Ounnas, Hugh C. Davis, David E. Millard
ICALT
2007
IEEE
16 years 1 months ago
Replacing the Monolithic LOM: A Folksonomic Approach
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of f...
Hend S. Al-Khalifa, Hugh C. Davis