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Bouguila, Nizar
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Mixture models and applications
Bouguila N., Fan W., Springer International Publishing, New York, NY, 2019. 355 pp. Type: Book (978-3-030238-75-9)
Mixture models refer to the fact that many datasets have an internal structure that can be better analyzed with more than one probability distribution as models for the data. These two (or more) models may be more or less mixed in term...
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Jan 18 2021
Artificial intelligence applications in information and communication technologies
Laalaoui Y., Bouguila N., Springer International Publishing, New York, NY, 2015. 213 pp. Type: Book (978-3-319198-32-3)
According to analysts, data volumes are expected to grow 44 fold in a decade (2011-2020). The variety of the data, along with the speed with which it is generated in an increasingly connected world, makes artificial intelligence (AI)-d...
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Jul 8 2016
Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering
Bdiri T., Bouguila N., Ziou D. Applied Intelligence 44(3): 507-525, 2016. Type: Article
Model-based data analysis is a powerful, increasingly popular tool for inferring knowledge and abstract information from data sets. To date, the model-based learning literature has mostly been dominated by Gaussian mixtures. However, c...
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Jun 20 2016
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