2017
Bayesian Hybrid Matrix Factorisation for Data Integration
AISTATS 2017poster
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. The model is very general and can be used to integrate many datasets across d…