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Latent Dirichlet mixture model
Neurocomputing, 2018Text representation based on latent topic model is seen as a non-Gaussian problem where the observed words and latent topics are multinomial variables and the topic proportionals are Dirichlet variables. Traditional topic model is established by introducing a single Dirichlet prior to characterize the topic proportionals.
Jen-Tzung Chien +2 more
openaire +2 more sources
1992
Abstract Discrete mixtures of distributions of standard parametric forms commonly arise in statistical modelling and with methods of analysis that exploit mixture structure. This paper discusses general issues of modelling with mixtures that arise in fitting mixtures to data distributions, using mixtures to approximate functional ...
openaire +1 more source
Abstract Discrete mixtures of distributions of standard parametric forms commonly arise in statistical modelling and with methods of analysis that exploit mixture structure. This paper discusses general issues of modelling with mixtures that arise in fitting mixtures to data distributions, using mixtures to approximate functional ...
openaire +1 more source
Regionalization of watersheds by finite mixture models
Journal of Hydrology, 2020Ali Ahani +2 more
exaly
Nonparametric Mixture of Regression Models
Journal of the American Statistical Association, 2013Mian Huang, Runze Li
exaly

