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» Observational Learning in Random Networks
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LCN
2006
IEEE
14 years 3 months ago
ROADNet: A network of SensorNets
As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to con...
Todd Hansen, Sameer Tilak, Steve Foley, Kent Lindq...
STOC
2006
ACM
134views Algorithms» more  STOC 2006»
14 years 9 months ago
Byzantine agreement in the full-information model in O(log n) rounds
We present a randomized Byzantine Agreement (BA) protocol with an expected running time of O(log n) rounds, in a synchronous full-information network of n players. For any constan...
Michael Ben-Or, Elan Pavlov, Vinod Vaikuntanathan
NIPS
2008
13 years 10 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 9 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
SIGIR
2010
ACM
14 years 1 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb