DBNS stands for Dynamic Bayesian Network Structure, which is a type of probabilistic graphical model that represents a set of random variables and their conditional dependencies using a directed acyclic graph. It is used in machine learning and artificial intelligence for modeling complex systems with dynamic relationships between variables.