讲座题目：A Learning-Based Approach for Algorithm Selection

主讲人: UIC 郭海鹏博士

时 间: 2006.9.14，2:00 - 4:00 p.m.

地 点: 北京师范大学珠海分校励泽楼A103

摘 要: The algorithm selection problem aims at selecting the best algorithm for a given computational problem instance according to some characteristics of the instance. In this talk we will look at a machine learning-based inductive approach using experimental algorithmic methods and machine learning techniques to solve the algorithm selection problem. Experimentally, we have applied the proposed methodology to algorithm selection for the MPE (Most Probable Explanation) problem and the results will be presented.