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» Learning Overcomplete Representations
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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
CHI
2007
ACM
16 years 7 months ago
Designing tangibles for children: what designers need to know
New forms of tangible and spatial child computer interaction and supporting technologies can be designed to leverage the way children develop intelligence in the world. In order t...
Alissa Nicole Antle
ICALT
2007
IEEE
16 years 28 days ago
An Automatic Quiz Generation System for English Text
In this study, we design and prototype an automatic quiz generation system (auto-quiz for short) for a given English text to test learner comprehension of text content and English...
Li-Chun Sung, Yi-Chien Lin, Meng Chang Chen
ICALT
2007
IEEE
16 years 28 days 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
ENC
2005
IEEE
16 years 6 days ago
A Probabilistic Relational Student Model for Virtual Laboratories
The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The stu...
Julieta Noguez, Luis Enrique Sucar