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» On Learning from Exercises
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IS
2008
14 years 9 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
WMTE
2002
IEEE
15 years 2 months ago
Mobile Internet Usability: What Can 'Mobile Learning' Learn from the Past?
‘Mobile Learning’ is a type of application/service that generally presumes to use mobile Internet technology for learning purposes. This paper focuses on discussing basic usab...
Maria Uther
LEGE
2003
102views Education» more  LEGE 2003»
14 years 11 months ago
Evolving from a Traditional Distance Learning Model to e-Learning
This paper presents experiences from the course of Informatics at the Hellenic Open University. Problems faced and lessons learned are presented relating to the
Michalis Nik Xenos, Athanassios N. Skodras
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
15 years 4 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
ICML
2007
IEEE
15 years 10 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...