You will be given a definition of a task first, then some input of the task.
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.

We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximization has obtained in this context is questioned by argu ing that the minimum information principle on which it is based could be supplanted by an at least as plausible "likelihood of evidence" prin ciple. We then review a method for turning given selection functions into representation indepen dent variants, and discuss the tradeoffs involved in this transformation.
Output:
Measure Selection: Notions of Rationality and Representation Independence