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EUROS
2008
153views Robotics» more  EUROS 2008»
14 years 11 months ago
Adaptive Multiple Resources Consumption Control for an Autonomous Rover
Resources consumption control is crucial in the autonomous rover context. Most of the time, the resources consumption is probabilistic. During execution time, the rover has to adap...
Simon Le Gloannec, Abdel-Illah Mouaddib, Fran&cced...
AGENTS
1998
Springer
15 years 1 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
WDAG
2007
Springer
92views Algorithms» more  WDAG 2007»
15 years 3 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...
AAAI
2011
13 years 9 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
AAAI
2012
12 years 12 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley