Probabilistic graphical models form a unifying framework for representing complex multivariate distributions and reasoning about causality. At their core, these models employ graphs in which nodes ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Researchers from Skoltech, the University of Arizona and Linköping University in Sweden have created a graphical model that describes the patterns of infection outbreaks spreading between different ...