Title: | Algorithm instance footprint : separating easily solvable and challenging problem instances |
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Authors: | ID Nikolikj, Ana, Institut Jožef Stefan (Author) ID Džeroski, Sašo, Institut Jožef Stefan (Author) ID Muñoz, Mario Andrés (Author) ID Doerr, Carola (Author) ID Korošec, Peter, Institut Jožef Stefan (Author) ID Eftimov, Tome, Institut Jožef Stefan (Author) |
Files: | URL - Source URL, visit https://dl.acm.org/doi/abs/10.1145/3583131.3590424 Description: Dostopno z geslom
PDF - Presentation file, download (2,03 MB) MD5: 4B7D430F8FFB13C70F4AC3E257F85D43
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Language: | English |
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Typology: | 1.08 - Published Scientific Conference Contribution |
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Organization: | IJS - Jožef Stefan Institute
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Keywords: | black-box optimization, algorithms, problem instances, machine learning |
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Publication status: | Published |
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Publication version: | Author Accepted Manuscript |
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Publication date: | 12.07.2023 |
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Publisher: | ACM |
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Year of publishing: | 2023 |
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Number of pages: | Str. 529-537 |
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Source: | ZDA |
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PID: | 20.500.12556/DiRROS-17002 |
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UDC: | 004.8 |
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DOI: | 10.1145/3583131.3590424 |
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COBISS.SI-ID: | 162950147 |
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Copyright: | Copyright © 2023 ACM |
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Note: | Nasl. z nasl. zaslona;
Soavtorji iz Slovenije: Sašo Džeroski, Peter Korošec, Tome Eftimov;
Opis vira z dne 1. 9. 2023;
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Publication date in DiRROS: | 15.09.2023 |
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Views: | 699 |
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Downloads: | 373 |
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