Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data
Berns F, Beecks C
Research article in edited proceedings (conference) | Peer reviewedDetails about the publication
Book title: Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)
Page range: 360-368
Status: Published
Release year: 2021 (01/05/2021)
Language in which the publication is written: English
Conference: SIAM International Conference on Data Mining (SDM), Alexandria, Virginia, U.S (Online)
ISBN: 978-1-61197-670-0
Link to the full text: https://epubs.siam.org/doi/pdf/10.1137/1.9781611976700.41
Authors from the University of Münster
| Beecks, Christian | Professorship of practical computer science (Prof. Beecks) |
| Berns, Fabian | Professorship of practical computer science (Prof. Beecks) |
Preisverleihungen erhalten für die Publikation
| Best Research Paper Award: "Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data" Awarded by: SIAM International Conference on Data Mining Award given to: Berns, Fabian; Beecks, Christian Announced at: 30/04/2021 | Date of awarding: 30/04/2021 Type of distinction: Best publication award |