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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering.

• Authors : Olyaei, Niloofar Aslani Akhore (AUTHOR); Khazaei, Mojtaba (AUTHOR); Najarzadeh, Dariush (AUTHOR)

Subjects: GAUSSIAN mixture models; COVARIANCE matrices; CLUSTER analysis (Statistics)

• Source: Statistical Methods & Applications. Apr2024, Vol. 33 Issue 2, p407-437. 31p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Understanding the complexities of the fine structure of interest rates: a Wasserstein barycenter learning approach.

• Authors : Mari, Carlo (AUTHOR); Baldassari, Cristiano (AUTHOR)

Subjects: GAUSSIAN mixture models; YIELD curve (Finance); DISTRIBUTION (Probability theory)

• Source: Neural Computing & Applications. Nov2024, Vol. 36 Issue 31, p19291-19305. 15p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Application of Gaussian mixture models to quantify the upper background threshold for perfluorooctane sulfonate (PFOS) in U.S. surface soil.

• Authors : Anderson, Richard Hunter¹ (AUTHOR) ; Modiri, Mahsa² (AUTHOR)

Subjects: *Soils; *Soil sampling; Gaussian mixture models

• Source: Environmental Monitoring & Assessment. Mar2024, Vol. 196 Issue 3, p1-11. 11p.

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A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.

• Authors : Vemuri, Ravi Teja (AUTHOR); Azam, Muhammad (AUTHOR); Bouguila, Nizar (AUTHOR)

Subjects: GAUSSIAN mixture models; MARKOV chain Monte Carlo; GIBBS sampling

• Source: Neural Computing & Applications. Sep2022, Vol. 34 Issue 17, p14123-14134. 12p.

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Applied Science & Technology Full Text (H.W. Wilson)

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