Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2364-1541
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization ; volume:5 ; number:1 ; day:28 ; month:2 ; year:2020 ; pages:1-11 ; date:3.2020
Data science and engineering ; 5, Heft 1 (28.2.2020), 1-11, 3.2020
- Urheber
-
Tian, Shan
Mo, Songsong
Wang, Liwei
Peng, Zhiyong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s41019-020-00117-1
- URN
-
urn:nbn:de:101:1-2020052705592322783072
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
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Beteiligte
- Tian, Shan
- Mo, Songsong
- Wang, Liwei
- Peng, Zhiyong
- SpringerLink (Online service)
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