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» Learning Object Context for Adaptive Learning Design
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145
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ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
15 years 1 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
120
Voted
ICALT
2003
IEEE
15 years 8 months ago
Gaining Computational Literacy by Creating Hybrid Aesthetic Learning Spaces
Although the technical skills of pupils are quite high, the current approach to gain media literacy still focusses on updating software applying skills, rather than exploring the ...
Daniela Reimann, Michael Herczeg, Thomas Winkler, ...
ECTEL
2007
Springer
15 years 9 months ago
An Ontology based Web Annotation System to Create New Learning Practices
Web2.0 is a conceptual framework that aims at enhancing the World Wide Web with semantic and social functionnalities. For this framework to fully develop, there is a need for concr...
Christophe Piombo, Hadj Batatia, Pascal Dayre, Ala...
125
Voted
ACHI
2008
IEEE
15 years 10 months ago
Adaptive Self-Assessment Trying to Reduce Fear
— Almost everyone has experienced fear at least once in their life because of a test. Fear can positively mobilise students, when it is under control. However, when fear becomes ...
Anastasios A. Economides, Christos N. Moridis
138
Voted
ECML
2006
Springer
15 years 7 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...