Presents an algorithm for support size testing using O(n/(ε log n) log(1/ε)) samples that nearly matches the Ω(n/(ε log n)) lower bound and improves on histogram learning.
The relation between the number of species and the number of individuals in a random sample of an animal population
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Testing Support Size More Efficiently Than Learning Histograms
Presents an algorithm for support size testing using O(n/(ε log n) log(1/ε)) samples that nearly matches the Ω(n/(ε log n)) lower bound and improves on histogram learning.