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Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization
he finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable ...
Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis
(SAGE Publications Ltd, 2019)
© The Author(s) 2018.One of the main challenges that the industry faces when dealing with massive data for failure diagnosis is high dimensionality of such data. This can be tackled by dimensionality reduction method such ...
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
(IEEE, 2017)
Usually, time series acquired from some measure-ment in a dynamical system are the main source of infor-mation about its internal structure and complex behavior. Inthis situation, trying ...
Seasonality drives body size variation in a widely distributed Neotropical treefrog
(2020-01-01)
It is well known that body size variation can be related to genetic and environmental factors and that this variation may occur among species, and among and within populations. Scinax fuscomarginatus is a widely distributed ...
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems
(IOS Press, 2018)
Usually, time series acquired from some measurement in a dynamical system are the main source of information about its internal structure and complex behavior. In this situation, trying to predict a future state or to ...
Bayesian parameter estimation using amortized variational inference.
(Universidad de Concepción.Departamento de Ingeniería Informática y Ciencias de la ComputaciónDepartamento de Ingeniería Informática y Ciencias de la Computación., 2020)
Through the use of models, it is possible to express information about a process or
data being analyzed. These models seek to explain or predict the process of interest.
Models with a known and fixed number of parameters, ...
Influence diagnostics on the coefficient of variation of elliptically contoured distributions
(2011)
In this article, we study the behavior of the coefficient of variation (CV) of a random variable that follows a symmetric distribution in the real line. Specifically, we estimate this coefficient using the maximum-likelihood ...
Quantitative genetic variation of metabolism in the nymphs of the sand cricket, gryllus firmus, inferred from an analysis of inbred-lines
(SOCIEDAD DE BIOLOGIA DE CHILE, 2007)