The field of artificial intelligence is so vast. So many methodologies of handling continuous data and just now I have read about Hybrid Bayesian network. I just want to know that what a hybrid Bayesian network contains?
A bayesian network where the random variables represented can be continuous or discrete. Usually the continuous variables are handled with Normal distribution with an input of some linear combination of the variables it is dependent on.
Much more detail can be found in Koller's Probabilistic Graphical Model book: http://pgm.stanford.edu/