Evgeny Shindin

Learning the Parameters of Bayesian Networks from Uncertain Data

The creation of Bayesian networks often requires the specification of a large number of parameters, making it highly desirable to be able to learn these parameters from historical data. In many cases, such data has uncertainty associated with it, including cases in which this data comes from unstruc…