Integrated Uncertainty in Knowledge Modelling and Decision Making / Lecture Notes in Computer Science Bd.11471 (PDF)
7th International Symposium, IUKM 2019, Nara, Japan, March 27-29, 2019, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019.
The 37 revised full papers presented were carefully...
The 37 revised full papers presented were carefully...
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Produktinformationen zu „Integrated Uncertainty in Knowledge Modelling and Decision Making / Lecture Notes in Computer Science Bd.11471 (PDF)“
This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019.
The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.
Bibliographische Angaben
- 2019, 1st ed. 2019, 444 Seiten, Englisch
- Herausgegeben: Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030148157
- ISBN-13: 9783030148157
- Erscheinungsdatum: 18.03.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 23 MB
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