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• W3197100533 abstract "The brilliant method due to Good and Turing allows for estimating objects not occurring in a sample. The problem, known under names “sample coverage” or “missing mass” goes back to their cryptographic work during WWII, but over years has found has many applications, including language modeling, inference in ecology and estimation of distribution properties. This work characterizes the maximal mean-squared error of the Good-Turina estimator, for any sample and alphabet size." @default.
• W3197100533 created "2021-09-13" @default.
• W3197100533 creator A5011993100 @default.
• W3197100533 date "2021-07-12" @default.
• W3197100533 modified "2023-10-16" @default.
• W3197100533 title "Mean-Squared Accuracy of Good-Turing Estimator" @default.
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• W3197100533 doi "https://doi.org/10.1109/isit45174.2021.9518169" @default.
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