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CCECE
2006
IEEE
14 years 2 months ago
A Dynamic Associative E-Learning Model based on a Spreading Activation Network
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
SIGCSE
2002
ACM
152views Education» more  SIGCSE 2002»
13 years 8 months ago
Learning styles and performance in the introductory programming sequence
This paper reports on the implication of different preferred learning styles on students'performance in the introductory programming sequence and on work in progress on how t...
Lynda Thomas, Mark Ratcliffe, John Woodbury, Emma ...
EDOC
2008
IEEE
13 years 10 months ago
Model-Driven Development of a Mediation Service
Although service-oriented architectures offer real benefits when pursuing application integration and business flexibility, there are still no satisfactory solutions for dealing w...
Dick A. C. Quartel, Stanislav Pokraev, Rodrigo Man...
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring