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ICML
2009
IEEE
16 years 2 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
ICALT
2006
IEEE
15 years 7 months ago
Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning
Mobile Augmented Reality System (MARS) based elearning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS...
Jayfus T. Doswell
AH
2000
Springer
15 years 5 months ago
A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
Kyparisia A. Papanikolaou, George D. Magoulas, Mar...
NN
2008
Springer
15 years 1 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
ICML
2009
IEEE
15 years 8 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider