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ATAL
2008
Springer
15 years 5 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
127
Voted
ICALT
2007
IEEE
15 years 5 months ago
Analyzing the Motivation of the Students in the Art Faculty for Learning Programming
In order to analyze the factors that raise the motivation of students in the art design faculty and digital design faculty to learn programming, a programming course using Process...
Yasuhiro Takemura, Hideo Nagumo, Hidekuni Tsukamot...
116
Voted
AH
2004
Springer
15 years 8 months ago
Developing Active Learning Experiences for Adaptive Personalised eLearning
Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled...
Declan Dagger, Vincent P. Wade, Owen Conlan
ICEIS
2009
IEEE
15 years 10 months ago
CrimsonHex: A Service Oriented Repository of Specialised Learning Objects
The corner stone of the interoperability of eLearning systems is the standard definition of learning objects. Nevertheless, for some domains this standard is insufficient to fully ...
José Paulo Leal, Ricardo Queirós
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 3 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer