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ICML
1998
IEEE
16 years 7 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
CHI
2010
ACM
16 years 1 months ago
Examining multiple potential models in end-user interactive concept learning
End-user interactive concept learning is a technique for interacting with large unstructured datasets, requiring insights from both human-computer interaction and machine learning...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
ICWL
2007
Springer
16 years 24 days 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
IJCNN
2006
IEEE
16 years 21 days ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
196
Voted
HICSS
2005
IEEE
115views Biometrics» more  HICSS 2005»
16 years 8 days ago
Strategies Employed By Participants In Virtual Learning Communities
This paper examines the learning behavior of online students in an asynchronous learning environment. We employ the theoretical lens of an online community of inquiry, to understa...
James Waters, Susan Gasson