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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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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2008-06-01
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| Collection: | International Journal of Computational Intelligence Systems |
| Sujets: | |
| Accès en ligne: | https://www.atlantis-press.com/article/1564.pdf |
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