The ICON Challenge on Algorithm Selection

作者:Kotthoff Lars*; Hurley Barry; O'Sullivan Barry
来源:AI Magazine, 2017, 38(2): 91-93.
DOI:10.1609/aimag.v38i2.2722

摘要

Algorithm selection is of increasing practical relevance in a variety of applications. Many approaches have been proposed in the literature, but their evaluations are often not comparable, making it hard to judge which approaches work best. The ICON Challenge on Algorithm Selection objectively evaluated many prominent approaches from the literature, making them directly comparable for the first time. The results show that there is still room for improvement, even for the very best approaches.

  • 出版日期2017