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A Comparative Study of Various Probability Density Estimation Methods for Data Analysis

Probability density estimation (PDF) is a task of primary importance in many contexts, including Bayesian learning and novelty detection. Despite the wide variety of methods at disposal to estimate PDF, only a few of them are widely used in practice by data analysts. Among the most used methods are...

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Bibliografski detalji
Glavni autori: Alex Assenza, Maurizio Valle, Michel Verleysen
Format: Artigo
Jezik:Inglês
Izdano: Springer 2008-06-01
Serija:International Journal of Computational Intelligence Systems
Teme:
Online pristup:https://www.atlantis-press.com/article/1564.pdf
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