@Article{CAM-17-21,
author = {},
title = {【期刊信息】Foundations of Data Science, Volume 2, Issue 3, September 2020},
journal = {CAM-Net Digest},
year = {2020},
volume = {17},
number = {21},
pages = {7--7},
abstract = {<p style="text-align: justify; margin-bottom: 10px;">URL:&nbsp;<a href="https://www.aimsciences.org/journal/A0000-0002/2020/2/3">https://www.aimsciences.org/journal/A0000-0002/2020/2/3</a></p><p style="text-align: justify; margin-bottom: 10px;">Data-driven evolutions of critical points<br/>Stefano Almi, Massimo Fornasier and Richard Huber&nbsp;</p><p style="text-align: justify; margin-bottom: 10px;">Spectral methods to study the robustness of residual neural networks with infinite layers<br/>Torsten Trimborn, Stephan Gerster and Giuseppe Visconti&nbsp;</p><p style="text-align: justify; margin-bottom: 10px;">Probabilistic learning on manifolds<br/>Christian Soize and Roger Ghanem&nbsp;</p><p style="text-align: justify; margin-bottom: 10px;">Adaptive random Fourier features with Metropolis sampling<br/>Aku Kammonen, Jonas Kiessling, Petr Plechá?, Mattias Sandberg and Anders Szepessy&nbsp;</p><p style="text-align: justify; margin-bottom: 10px;">Posterior contraction rates for non-parametric state and drift estimation<br/>Sebastian Reich and Paul J. Rozdeba&nbsp;</p>},
issn = {},
doi = {https://doi.org/2021-CAM-19804},
url = {https://global-sci.com/article/75483/foundations-of-data-science-volume-2-issue-3-september-2020}
}