A Bayesian Approach to Semi-Supervised Learning.
Rebecca F. Bruce · 2001
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in contrast to unsupervised, which refers to algorithms requiring no tagged data whatsoever. This paper