Abstract
SUNNY is a k-nearest neighbors based Algorithm Selection (AS) approach that schedules and runs a number of solvers for a given unforeseen problem. In this work we present sunny-as2, an enhancement of SUNNY for generic AS scenarios that advances the original approach with wrapper-based feature selection, neighborhood-size configuration and a greedy approach to speed-up the training phase. Empirical evidence shows that sunny-as2 is competitive w.r.t. state-of-the-art AS approaches.
Original language | English |
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Title of host publication | Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 |
Editors | Luc De Raedt |
Publisher | International Joint Conferences on Artificial Intelligence |
Publication date | 2022 |
Pages | 5752-5756 |
ISBN (Electronic) | 9781956792003 |
DOIs | |
Publication status | Published - 2022 |
Event | 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 - Vienna, Austria Duration: 23. Jul 2022 → 29. Jul 2022 |
Conference
Conference | 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 |
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Country/Territory | Austria |
City | Vienna |
Period | 23/07/2022 → 29/07/2022 |
Sponsor | Artificial Intelligence Journal, Didi Chuxing, et al., FinVolution Group, International Joint Conferences on Artificial Intelligence (IJCAI), Shanghai Artificial Intelligence Industry Association |
Series | IJCAI International Joint Conference on Artificial Intelligence |
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ISSN | 1045-0823 |
Bibliographical note
Publisher Copyright:© 2022 International Joint Conferences on Artificial Intelligence. All rights reserved.