Title: | RF+clust for leave-one-problem-out performance prediction |
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Authors: | ID Nikolikj, Ana (Author) ID Doerr, Carola (Author) ID Eftimov, Tome, Institut Jožef Stefan (Author) |
Files: | URL - Source URL, visit https://link.springer.com/chapter/10.1007/978-3-031-30229-9_19
PDF - Presentation file, download (4,47 MB) MD5: 61CC52779C753EC060349E950DC829C9
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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: | algorithm performance prediction, automated machine learning, zero-shot learning, black-box optimization |
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Publication status: | Published |
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Publication version: | Author Accepted Manuscript |
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Publication date: | 09.04.2023 |
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Publisher: | Springer Nature |
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Year of publishing: | 2023 |
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Number of pages: | Str. 285-301 |
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Source: | Švica |
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PID: | 20.500.12556/DiRROS-16880 |
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UDC: | 004.8 |
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DOI: | 10.1007/978-3-031-30229-9_19 |
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COBISS.SI-ID: | 153573891 |
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Copyright: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG |
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Note: | Nasl. z nasl. zaslona;
Opis vira z dne 26. 5. 2023;
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Publication date in DiRROS: | 30.08.2023 |
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Views: | 705 |
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Downloads: | 311 |
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