Finally, the hidden layer space of the variational autoencoder model is used to construct hidden layer feature statistics Z2 to realize process monitoring. Compared with the principal component ...

You might recall from statistics that standard deviation is the square root of variance. Using the log of the variance helps prevent values from becoming excessively large. [Click on image for larger ...

Conceptual overview about Variational Autoencoder Modular Bayesian Network VAMBN ... simulated patients should mainly fulfill the following criteria: (a) Summary statistics (e.g., mean, variance, ...

This project was developed as part of Statistical Data Analysis 2, a course focused on Bayesian statistics and Bayesian machine learning. The primary objective was to model gene expression data from a ...

The Poisson Variational Autoencoder (PVAE) is a type of variational autoencoder specifically designed for modeling count data, such as word frequencies or event counts. It addresses the limitations of ...

Abstract: Recently, a generative variational autoencoder (VAE) has been proposed for speech enhancement to model speech statistics. However, this approach only uses clean speech in the training phase, ...