Agius, Phaedra; Ying, Yiming; Campbell, Colin - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 27-27
We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one type of data on the other. We consider two algorithmic approaches, based on a correspondence model, where latent variables are shared across datasets. These models indicate the...
