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stat.ML2020
Bayesian Sparse Factor Analysis with Kernelized Observations
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos +1
Multi-view problems can be faced with latent variable models since they are able to find low-dimensional projections that fairly capture the correlations among the multiple views t…
stat.ML2020
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
The Bayesian approach to feature extraction, known as factor analysis (FA), has been widely studied in machine learning to obtain a latent representation of the data. An adequate s…