Sciweavers

1016 search results - page 29 / 204
» The Focus Problem in Mobile Learning
Sort
View
WDAG
2007
Springer
92views Algorithms» more  WDAG 2007»
14 years 1 months ago
Self-stabilizing Counting in Mobile Sensor Networks with a Base Station
Abstract. Distributed computing must adapt its techniques to networks of mobile agents. Indeed, we are facing new problems like the small size of memory and the lack of computation...
Joffroy Beauquier, Julien Clement, Stéphane...
SOCA
2010
IEEE
13 years 5 months ago
Virtualised e-Learning with real-time guarantees on the IRMOS platform
In this paper we focus on how Quality of Service guarantees are provided to virtualised applications in the Cloud Computing infrastructure that is being developed in the context of...
Tommaso Cucinotta, Fabio Checconi, Zlatko Zlatev, ...
ABIALS
2008
Springer
13 years 9 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
COLT
2000
Springer
14 years 12 hour ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
AAAI
2008
13 years 10 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng