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» Finding Appropriate Learning Objects: An Empirical Evaluatio...
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DC
2001
13 years 9 months ago
Effective Retrieval of Educational Resources by Using Learning Object Metadata for K-12 Schools in Japan
We have customized learning object metadata (LOM) for educational resources on the basis of the LOM investigated by IEEE [1] and IMS [2], in order to make it consistent with Japan...
Masanori Shinohara, Mayumi Okamoto, Yasuhiro Okui,...
AH
2008
Springer
14 years 1 months ago
Supporting Users in Creating Pedagogically Sound Personalised Learning Objects
Successful eLearning is predicated on the application of pedagogies appropriate to online education that respond to the capabilities and needs of the learners. Typically, designing...
Aoife Brady, Owen Conlan, Vincent Wade, Declan Dag...
CVPR
2005
IEEE
14 years 1 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICML
2005
IEEE
14 years 8 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
ICTAI
2010
IEEE
13 years 5 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...