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124
Voted
NIPS
2004
15 years 1 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
102
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
124
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DAC
2010
ACM
15 years 21 days ago
2010
ACM
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
121
Voted
MOBICOM
2010
ACM
15 years 21 days ago
2010
ACM
Cellular radios consume more power and suffer reduced data rate when the signal is weak. According to our measurements, the communication energy per bit can be as much as 6x highe...
121
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ADHOC
2007
15 years 19 days ago
2007
Ensuring the consistency and the availability of replicated data in highly mobile ad hoc networks is a challenging task because of the lack of a backbone infrastructure. Previous ...