61 citations · 121 across the 15 of their papers we have counts for
3 papers · 1 filter
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
Deep learning is a hierarchical inference method formed by subsequent multiple layers of learning able to more efficiently describe complex relationships. In this work, Deep Gaussi…
The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015
Laura Anderlucci, Angela Montanari, Cinzia Viroli
In this paper we retrace the recent history of statistics by analyzing all the papers published in five prestigious statistical journals since 1970, namely: Annals of Statistics, B…
Infinite Mixtures of Infinite Factor Analysers
Keefe Murphy, Cinzia Viroli, Isobel Claire Gormley
Factor-analytic Gaussian mixture models are often employed as a model-based approach to clustering high-dimensional data. Typically, the numbers of clusters and latent factors must…