Instance-Specific Algorithm Selection via Multi-Output Learning
2017-04-15分类号：TP301.6
【部门】the National Laboratory for Parallel and Distributed Processing National University of Defense Technology the College of Computer National University of Defense Technology
【摘要】Instance-specific algorithm selection technologies have been successfully used in many research fields,such as constraint satisfaction and planning. Researchers have been increasingly trying to model the potential relations between different candidate alg
【关键词】algorithm selection multi-output learning extremely randomized trees performance prediction constraint satisfaction
【基金】mainly supported by the National Natural Science Foundation of China (Nos. 61125201, 61303070, and U1435219)
【所属期刊栏目】Tsinghua Science and Technology
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