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» Using Machine Learning to Guide Architecture Simulation
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191
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SENSYS
2009
ACM
16 years 1 months ago
Integrated distributed energy awareness for wireless sensor networks
Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concent...
Geoffrey Werner Challen, Jason Waterman, Matt Wels...
155
Voted
SEMCO
2007
IEEE
16 years 19 days ago
Unrestricted Coreference: Identifying Entities and Events in OntoNotes
Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In par...
Sameer S. Pradhan, Lance A. Ramshaw, Ralph M. Weis...
151
Voted
NOSSDAV
2010
Springer
15 years 11 months ago
TSync: a new synchronization framework for multi-site 3D tele-immersion
Synchronization is a challenge in the multi-site 3D teleimmersion (3DTI) because it is complicated by the coexistence of highly correlated heterogenous streams from multiple sourc...
Zixia Huang, Wanmin Wu, Klara Nahrstedt, Md. Ahsan...
202
Voted
NIPS
2004
15 years 7 months ago
Maximising Sensitivity in a Spiking Network
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...
Anthony J. Bell, Lucas C. Parra
173
Voted
SENSYS
2006
ACM
16 years 9 days ago
ATPC: adaptive transmission power control for wireless sensor networks
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...