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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...
Group Testing with Probabilistic Tests: Theory, Design and
group testing probabilistic tests sparsity recovery compressed sensing epidemiology
2010/12/8
Identification of defective members of large populations has been widely studied in the statistics community under the name of group testing. It involves grouping subsets of items into different pools...