13214 search results - page 345 / 2643 » Pseudorandomness for network algorithms |
194
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APNOMS
2006
Springer
15 years 10 months ago
2006
Springer
Wireless sensor networks (WSNs) consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Given their unat...
192
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CANS
2009
Springer
16 years 1 months ago
2009
Springer
As social networks sites continue to proliferate and are being used for an increasing variety of purposes, the privacy risks raised by the full access of social networking sites ov...
194
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IFIP12
2004
15 years 8 months ago
2004
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
172
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ICWMC
2006
IEEE
16 years 25 days ago
2006
IEEE
Extensive field trials are essential to evaluate protocols and algorithms for wireless sensor networks. The high costs of such trials demand for a systematic approach. This paper...
164
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CCE
2008
15 years 6 months ago
2008
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...