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156
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NN
2010
Springer
187views Neural Networks» more  NN 2010»
14 years 10 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
153
Voted
WWW
2010
ACM
15 years 11 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
112
Voted
ICWL
2007
Springer
15 years 10 months ago
The Marriage of Rousseau and Blended Learning: An Investigation of 3 Higher Educational Institutions' Praxis
This paper sets out the central problem of current blended learning research that it does not have an appropriate focus on educational theory. The blended learning praxis in higher...
Esyin Chew, Norah Jones, David Turner
ICALT
2006
IEEE
15 years 10 months ago
Highly Adaptive Learning for All - Vision and Plan
One of the major global problems is bringing learning to everyone on earth, at all ages. Current lockstep cookie-cuter approaches will not accomplish this, because students differ...
Alfred Bork
COBUILD
1998
Springer
15 years 8 months ago
The Metaphor of Virtual Rooms in the Cooperative Learning Environment CLear
In the CLear project we develop a cooperative learning system for supporting learning and training processes of co-located and distributed groups. One of the fundamental concepts o...
Hans-Rüdiger Pfister, Christian Schuckmann, J...