Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis

@inproceedings{Roberts2004BayesianIC,
  title={Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis},
  author={Stephen J. Roberts and Rizwan Choudrey},
  booktitle={Deterministic and Statistical Methods in Machine Learning},
  year={2004}
}
In many data-driven machine learning problems it is useful to consider the data as generated from a set of unknown (latent) generators or sources. The observations we make are then taken to be related to these sources through some unknown functionaility. Furthermore, the (unknown) number of underlying latent sources may be different to the number of observations and hence issues of model complexity plague the analysis. Recent developments in Independent Component Analysis (ICA) have shown that… CONTINUE READING