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» Learning the required number of agents for complex tasks
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ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 6 months ago
Towards One Shot Learning by imitation for humanoid robots
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Yan Wu, Yiannis Demiris
LCTRTS
2000
Springer
13 years 11 months ago
Approximation of Worst-Case Execution Time for Preemptive Multitasking Systems
The control system of many complex mechatronic products requires for each task the Worst Case Execution Time (WCET), which is needed for the scheduler's admission tests and su...
Matteo Corti, Roberto Brega, Thomas R. Gross
CCGRID
2006
IEEE
14 years 1 months ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour
NN
2008
Springer
13 years 7 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
NECO
2007
127views more  NECO 2007»
13 years 7 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado