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Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms
Non-adaptive probabilistic group noisy measurements Near-optimal bounds efficient algorithms
2011/9/19
Abstract: We consider the problem of detecting a small subset of defective items from a large set via non-adaptive "random pooling" group tests. We consider both the case when the measurements are noi...
This paper asks a new question: how can we control the collective behavior ofself-organized multi-agent systems? We try to answer the question by proposing a newnotion called `soft Control', which kee...