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 ...

Generative artificial intelligence powered features such as chatting about what is in pictures, telling children bedtime stories, and imitating podcasters continue to roll out despite fears the ...

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 ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Open source software has a number of benefits over commercial products, not least the fact that it can be downloaded for free. This means anyone can analyse the code and, assuming they have the right ...