Tootfinder

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@netzschleuder@social.skewed.de
2024-01-29 07:00:07

cs_department: Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.
This network has 61 nodes and 620 edges.
Tags: Social, Relationships, Multilayer, Unweighted

cs_department: Aarhus Computer Science department relationships. 61 nodes, 620 edges. https://networks.skewed.de/net/cs_department

cs_department — Aarhus Computer Science department relationships
Multiplex network consisting of 5 edge types corresponding to online and offline relationships (Facebook, leisure, work, co-authorship, lunch) between employees of the Computer Science department at Aarhus. Data hosted by Manlio De Domenico.

@BugatellyMartin@troet.cafe
2024-02-27 20:14:46

Ueli „kä Luscht“ Muurer bessert übrigens seine Rente mit einem öffentlichen Interview und anschliessendem Nachtessen im #Schiffbau auf. Die Fragen zu #Haushaltsdisziplin in Zeiten der Covidolera, #CS-Rettung, …

@arXiv_quantph_bot@mastoxiv.page
2024-01-29 08:16:51

This https://arxiv.org/abs/2310.16921 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

On the connection between least squares, regularization, and classical shadows
Classical shadows (CS) offer a resource-efficient means to estimate quantum observables, circumventing the need for exhaustive state tomography. Here, we clarify and explore the connection between CS techniques and least squares (LS) and regularized least squares (RLS) methods commonly used in machine learning and data analysis. By formal identification of LS and RLS "shadows" completely analogous to those in CS -- namely, point estimators calculated from the empirical frequencies of single mea…

@shriramk@mastodon.social
2024-04-27 15:33:57

Something has gone very wrong with the Brown bookstore's book recommendation system… (0190 is an accelerated introduction to CS, and 1730 is programming languages.)