Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: In this paper, we present a heuristic operator which aims at simultaneously optimizing the orientations of all the edges in an interme­ diate Bayesian network structure during the search process. This is done by alternating between the space of directed acyclic graphs (DAGs) and the space of skeletons. The found orientations of the edges are based on a scoring function rather than on induced con­ ditional independences. This operator can be used as an extension to commonly employed search strategies. It is evaluated in experi­ ments with artificial and real-world data.

On the Use of Skeletons when Learning in Bayesian Networks