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» The Dark Side of Object Learning: Learning Objects
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TSMC
2008
162views more  TSMC 2008»
15 years 4 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
KI
2002
Springer
15 years 4 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
ECTEL
2009
Springer
15 years 2 months ago
Ontology Enrichment with Social Tags for eLearning
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
Paola Monachesi, Thomas Markus, Eelco Mossel
ICHL
2009
165views Education» more  ICHL 2009»
15 years 2 months ago
Learning Knowledge Management Concepts via the Use of a Scenario Building Tool on an E-Learning Platform
As e-learning or blended learning is more and more popular these days, but with the lack of certain tools, most of the e-learning objects are just simple power point files, pdf fil...
Teresa B. Y. Liew, Eric Tsui, Patrick S. W. Fong, ...
JMLR
2010
140views more  JMLR 2010»
14 years 11 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...