784 search results - page 150 / 157 » Multiobjective optimization for dynamic environments |
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
ECCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
TMC
2008
14 years 9 months ago
2008
We consider the problem of finding "backbones" in multihop wireless networks. The backbone provides end-toend connectivity, allowing non-backbone nodes to save energy sin...
124
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AI
1998
Springer
14 years 9 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
105
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PE
2002
Springer
14 years 9 months ago
2002
Springer
Many emerging mobile wireless applications depend upon secure group communications, in which data is encrypted and the group's data encryption key is changed whenever a membe...