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The Cartographer
Adaptive Group Testing Algorithms to Estimate the Number of Defectives
December 02, 2017 Β· Declared Dead Β· π International Conference on Algorithmic Learning Theory
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Authors
Nader H. Bshouty, Vivian E. Bshouty-Hurani, George Haddad, Thomas Hashem, Fadi Khoury, Omar Sharafy
arXiv ID
1712.00615
Category
cs.DS: Data Structures & Algorithms
Citations
18
Venue
International Conference on Algorithmic Learning Theory
Last Checked
3 months ago
Abstract
We study the problem of estimating the number of defective items in adaptive Group testing by using a minimum number of queries. We improve the existing algorithm and prove a lower bound that show that, for constant estimation, the number of tests in our algorithm is optimal.
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