Counting the learnable functions of geometrically structured data

Autor:	Marco Cosentino Lagomarsino, Pietro Rotondo, Marco Gherardi
Rok vydání:	2020
Předmět:	Empirical data Theoretical computer science Computer science ComputerApplications_COMPUTERSINOTHERSYSTEMS Computer Science::Databases
Zdroj:	Physical Review Research. 2
ISSN:	2643-1564
DOI:	10.1103/physrevresearch.2.023169
Popis:	This paper shows how a classical method can be utilized to analyze empirical data, using a combinatorial recurrence
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ea852a9dccd9a6f7da13af0de950660c https://doi.org/10.1103/physrevresearch.2.023169 Zobrazit plný text záznamu