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Learning Concepts Described By Weight Aggregation Logic

;

In
29th EACSL Annual Conference on Computer Science Logic : CSL 2021, January 25-28, 2021, Ljubljana, Slovenia (virtual conference) / edited by Christel Baier, Jean Goubault-Larrecq, Seiten/Artikel-Nr: 10:1-10:18

Konferenz/Event:29. EACSL Annual Conference on Computer Science Logic , online , CSL 2021 , 2021-01-25 - 2021-01-28

ImpressumSaarbrücken/Wadern, Germany : Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing

Umfang10:1-10:18

ISBN978-3-95977-175-7

ReiheLeibniz international proceedings in informatics ; 183

Konferenzort: Ljubljana, Slovenia

Online
DOI: 10.18154/RWTH-2021-02474
DOI: 10.4230/LIPICS.CSL.2021.10

URL: https://publications.rwth-aachen.de/record/815149/files/815149.pdf

Einrichtungen

  1. Lehrstuhl für Informatik 7 (Logik und Theorie diskreter Systeme) (122910)
  2. Fachgruppe Informatik (120000)


Inhaltliche Beschreibung (Schlagwörter)
Computing methodologies → Logical and relational learning (Genormte SW) ; Computing methodologies → Supervised learning (Genormte SW) ; Feferman-Vaught decomposition (Genormte SW) ; Gaifman normal form (Genormte SW) ; Theory of computation → Complexity theory and logic (Genormte SW) ; Theory of computation → Logic (Genormte SW) ; agnostic probably approximately correct learning (Genormte SW) ; classification problems (Genormte SW) ; first-order definable concept learning (Genormte SW) ; first-order logic with counting (Genormte SW) ; locality (Genormte SW) ; weight aggregation logic (Genormte SW)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85100905675

Interne Identnummern
RWTH-2021-02474
Datensatz-ID: 815149

Beteiligte Länder
Germany

 GO


Creative Commons Attribution CC BY 3.0 ; OpenAccess

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122910

 Record created 2021-03-07, last modified 2025-04-28


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