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» Learning Object Context for Adaptive Learning Design
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IROS
2009
IEEE
198views Robotics» more  IROS 2009»
14 years 3 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
AH
2006
Springer
14 years 2 months ago
Addictive Links: The Motivational Value of Adaptive Link Annotation in Educational Hypermedia
Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help...
Peter Brusilovsky, Sergey A. Sosnovsky, Michael Yu...
APCHI
2004
IEEE
14 years 16 days ago
Understanding Interaction Experience in Mobile Learning
The convergence of mobile technology and e-learning has generated considerable excitement among both practitioners and academics. Mass media continually promotes novel idea about m...
Fariza Hanis Abdul Razak
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 3 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 3 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull