Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bojan Karlas"'
Autor:
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Publikováno v:
ACM SIGMOD Record. 51:30-37
The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d04b4a749e0659bbc8fbaa2577bf6e
https://doi.org/10.1145/3552490.3552496
https://doi.org/10.1145/3552490.3552496
Publikováno v:
Proceedings of the VLDB Endowment. 11:2054-2057
We demonstrate ease.ml, a multi-tenant machine learning service we host at ETH Zurich for various research groups. Unlike existing machine learning services, ease.ml presents a novel architecture that supports multi-tenant, cost-aware model selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e35a2a55d2822b68aa518703415a5e09
https://doi.org/10.14778/3229863.3236258
https://doi.org/10.14778/3229863.3236258
Publikováno v:
Proceedings of the VLDB Endowment, 12 (12)
Developing machine learning (ML) applications is similar to developing traditional software-it is often an iterative process in which developers navigate within a rich space of requirements, design decisions, implementations, empirical quality, and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a639b417a94638526a87bb906e4ef419
https://hdl.handle.net/20.500.11850/395903
https://hdl.handle.net/20.500.11850/395903
Autor:
CINÀ, ANTONIO EMANUELE1 antonioemanuele.cina@unive.it, GROSSE, KATHRIN2 kathrin.grosse@unica.it, DEMONTIS, AMBRA3 ambra.demontis@unica.it, VASCON, SEBASTIANO4 sebastiano.vascon@unive.it, ZELLINGER, WERNER5 werner.zellinger@scch.at, MOSER, BERNHARD A.5 bernhard.moser@scch.at, OPREA, ALINA6 a.oprea@northeastern.edu, BIGGIO, BATTISTA3,7 battista.biggio@unica.it, PELILLO, MARCELLO1 pelillo@unive.it, ROLI, FABIO7,8 fabio.roli@unige.it
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-39. 39p.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the inte
Autor:
Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen
The three-volume set LNCS 12681-12683 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021. The total of 156 papers presented in this three-