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Integrated Uncertainty in Knowledge Modelling and Decision Making = 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Integrated Uncertainty in Knowledge Modelling and Decision Making/ edited by Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi.
其他題名:
7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings /
其他作者:
Seki, Hirosato.
面頁冊數:
XX, 444 p. 160 illus., 84 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-14815-7
ISBN:
9783030148157
Integrated Uncertainty in Knowledge Modelling and Decision Making = 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings /
Integrated Uncertainty in Knowledge Modelling and Decision Making
7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings /[electronic resource] :edited by Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi. - 1st ed. 2019. - XX, 444 p. 160 illus., 84 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11471. - Lecture Notes in Artificial Intelligence ;9285.
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.
ISBN: 9783030148157
Standard No.: 10.1007/978-3-030-14815-7doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Integrated Uncertainty in Knowledge Modelling and Decision Making = 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings /
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