all AI news
Topological data analysis of truncated contagion maps. (arXiv:2203.01720v1 [math.AT])
March 4, 2022, 2:12 a.m. | Florian Klimm
cs.LG updates on arXiv.org arxiv.org
The investigation of dynamical processes on networks has been one focus for
the study of contagion processes. It has been demonstrated that contagions can
be used to obtain information about the embedding of nodes in a Euclidean
space. Specifically, one can use the activation times of threshold contagions
to construct contagion maps as a manifold-learning approach. One drawback of
contagion maps is their high computational cost. Here, we demonstrate that a
truncation of the threshold contagions may considerably speed up …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Scientist, Commercial Analytics
@ Checkout.com | London, United Kingdom
Data Engineer I
@ Love's Travel Stops | Oklahoma City, OK, US, 73120