Fulya Trösser

Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming

Bayesian networks are probabilistic graphical models with a wide range of application areas including gene regulatory networks inference, risk analysis and image processing. Learning the structure of a Bayesian network (BNSL) from discrete data is known to be an NP-hard task with a superexponent…