So, I've basically been learning about markov networks recently. Seeing as I don't really know much about machine learning or statistics or much computer science theory period, this is a tough task. I think that they're a lot like bayesian networks. You have a set of nodes and the nodes point to other nodes. the edges are dependencies.
you can learn the structure of this graph. this is waht i need to investigate.
