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AutoGP: Exploring the capabilities and limitations of Gaussian process models

, , , и . arXiv preprint arXiv:1610.05392, (2016)

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Osman Kurt

Experimentelle Untersuchungen des Auftreffvorgangs von Sprays auf bewegter Zylinderoberfläche. Uni Bremen, (2009)

Dagmar Sabine Kurtz

Ulrich Kurth

Stefan Kurtenbach

Patrick Kurth

 

Другие публикации лиц с тем же именем

Inherently Interpretable Time Series Classification via Multiple Instance Learning., , , , , и . CoRR, (2023)AutoGP: Exploring the capabilities and limitations of Gaussian process models, , , и . arXiv preprint arXiv:1610.05392, (2016)Inherently Interpretable Time Series Classification via Multiple Instance Learning., , , , , и . ICLR, OpenReview.net, (2024)AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models., , , и . UAI, AUAI Press, (2017)Entropic Trace Estimates for Log Determinants., , , , , и . ECML/PKDD (1), том 10534 из Lecture Notes in Computer Science, стр. 323-338. Springer, (2017)Random Feature Expansions for Deep Gaussian Processes., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 884-893. PMLR, (2017)Deep Gaussian Processes for Multi-fidelity Modeling., , , , и . CoRR, (2019)Preconditioning Kernel Matrices, , , и . (2016)cite arxiv:1602.06693.Broadening the scope of gaussian processes for large-scale learning. (Élargir la portée des processus gaussiens pour l'apprentissage à grande échelle).. Sorbonne University, France, (2019)Bayesian Inference of Log Determinants., , , , и . UAI, AUAI Press, (2017)