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: 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.

Improved Sampling for Diagnostic Reasoning in Bayesian Networks