10.5.1. Generative Models
Generative models are perhaps the oldest semi-supervised methods and they have been used in statistics for many years. The essence behind these
methods is to model the class-conditional densities p(x|y), using information provided by both labeled and unlabeled data. Once such a model is available, one can compute the marginal
distribution p(x)(10.10)
the joint distribution(10.11)
and finally the quantity that is required by the Bayesian classifier(10.12)
The class label is an integer, y ∈{1, 2,…, M}, where M is the number ...
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