Optimal estimator of hypothesis probability for data mining problems with small samples

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Optimal estimator of hypothesis probability for data mining problems with small samples

The paper presents a new (to the best of the authors’ knowledge) estimator of probability called the “Eph√2 completeness estimator” along with a theoretical derivation of its optimality. The estimator is especially suitable for a small number of sample items, which is the feature of many real problems characterized by data insufficiency. The control parameter of the estimator is not assumed in ...

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ژورنال

عنوان ژورنال: International Journal of Applied Mathematics and Computer Science

سال: 2012

ISSN: 2083-8492

DOI: 10.2478/v10006-012-0048-z