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.
Q: Bayesian networks offer great potential for use in automating large scale diagnostic rea soning tasks. Gibbs sampling is the main technique used to perform diagnostic reason ing in large richly interconnected Bayesian networks. Unfortunately Gibbs sampling can take an excessive time to generate a represen tative sample. In this paper we describe and test a number of heuristic strategies for im proving sampling in noisy-or Bayesian net works. The strategies include Monte Carlo Markov chain sampling techniques other than Gibbs sampling. Emphasis is put on strate gies that can be implemented in distributed systems.
A:
Improved Sampling for Diagnostic Reasoning in Bayesian Networks