Instructions: 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: Solving symmetric Bayesian decision prob lems is a computationally intensive task to perform regardless of the algorithm used. In this paper we propose a method for improv ing the efficiency of algorithms for solving Bayesian decision problems. The method is based on the principle of lazy evalua tion a principle recently shown to improve the efficiency of inference in Bayesian net works. The basic idea is to maintain de compositions of potentials and to postpone computations for as long as possible. The efficiency improvements obtained with the lazy evaluation based method is emphasized through examples. Finally, the lazy evalu ation based method is compared with the HUGIN and valuation-based systems architec tures for solving symmetric Bayesian decision problems.
Output:
Lazy Evaluation of Symmetric Bayesian Decision Problems