Result: PS-AAS ; PS-AAS: portfolio selection for automated algorithm selection in black-box optimization

Title:

PS-AAS ; PS-AAS: portfolio selection for automated algorithm selection in black-box optimization

Authors:

Source:

Proceedings of Machine learning research, vol. 228, pp. 1-17, 2023. ; ISSN: 2640-3498 ; Nemčija

Publisher Information:

AutoML 2023
JMLR

Publication Year:

2023

Subject Terms:

Document Type:

*Conference* conference object

File Description:

application/pdf

Language:

English

Relation:

info:eu-repo/grantAgreement/ARRS//P2-0103; info:eu-repo/grantAgreement/ARRS//N2-0239; info:eu-repo/grantAgreement/ARRS//J2-4460; info:eu-repo/grantAgreement/other/Shema mladega raziskovalca/PR-12393; info:eu-repo/grantAgreement/other/Shema mladega raziskovalca/PR-09773; info:eu-repo/grantAgreement/other/BI-FR/23-24-PROTEUS001/PR-12040; info:eu-repo/grantAgreement/ANR//ANR-22-ERCS-0003; info:eu-repo/grantAgreement/EC/H2020/952215; https://dirros.openscience.si/IzpisGradiva.php?id=17498; https://dirros.openscience.si/Dokument.php?id=23767&dn=; https://dirros.openscience.si/Dokument.php?id=23768&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/176841475

Availability:

Rights:

http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess

Accession Number:

edsbas.D8D79FE0

Database:

BASE

*Result*: PS-AAS ; PS-AAS: portfolio selection for automated algorithm selection in black-box optimization