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Integrated uncertainty in knowledge modelling and decision making : 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings. Part II / Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science ; 14376. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, 2023Description: 1 online resource (xvii, 375 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031467813
  • 3031467817
Other title:
  • IUKM 2023
Subject(s): Genre/Form: DDC classification:
  • 003/.54 23/eng/20231030
LOC classification:
  • Q375 .I95 2023eb
Online resources:
Contents:
Machine Learning -- Pattern Classification and Data Analysis -- Security and Privacy in Machine Learning.
Summary: These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

Machine Learning -- Pattern Classification and Data Analysis -- Security and Privacy in Machine Learning.

These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed October 30, 2023).

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