Search Results for author: Thomas Brouwer

Found 4 papers, 3 papers with code

Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation

1 code implementation13 Jul 2017 Thomas Brouwer, Jes Frellsen, Pietro Lió

In this paper, we study the trade-offs of different inference approaches for Bayesian matrix factorisation methods, which are commonly used for predicting missing values, and for finding patterns in the data.

Bayesian Inference Model Selection

Bayesian Hybrid Matrix Factorisation for Data Integration

2 code implementations17 Apr 2017 Thomas Brouwer, Pietro Lió

We introduce a novel Bayesian hybrid matrix factorisation model (HMF) for data integration, based on combining multiple matrix factorisation methods, that can be used for in- and out-of-matrix prediction of missing values.

Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation

1 code implementation26 Oct 2016 Thomas Brouwer, Jes Frellsen, Pietro Lio'

We present a fast variational Bayesian algorithm for performing non-negative matrix factorisation and tri-factorisation.

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