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Author : Van-Nam Huynh,Hong-Bin Yan
Publisher : Unknown
Page : 128 pages
File Size : 52,9 Mb
Release : 2021
Category : Electronic
ISBN : OCLC:1252048335
Author : Van-Nam Huynh,Masahiro Inuiguchi,Thierry Demoeux
Publisher : Springer
Page : 490 pages
File Size : 44,9 Mb
Release : 2015-10-08
Category : Computers
ISBN : 9783319251356
This book constitutes the refereed proceedings of the 4th International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015. The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management
Author : Van-Nam Huynh,Bac Le,Katsuhiro Honda,Masahiro Inuiguchi,Youji Kohda
Publisher : Springer Nature
Page : 351 pages
File Size : 48,9 Mb
Release : 2023-10-26
Category : Computers
ISBN : 9783031467752
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.
Author : Katsuhiro Honda,Tomoe Entani,Seiki Ubukata,Van-Nam Huynh,Masahiro Inuiguchi
Publisher : Springer Nature
Page : 389 pages
File Size : 45,5 Mb
Release : 2022-03-03
Category : Computers
ISBN : 9783030980184
This book constitutes the refereed proceedings of the 98th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2021, held in Ishikawa, Japan, in March 2022. The 30 full papers presented were carefully reviewed and selected from 46 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision making, optimization and statistical methods, pattern classification and data analysis, machine learning, and economic applications.
Author : Katsuhiro Honda,Bac Le,Van-Nam Huynh,Masahiro Inuiguchi,Youji Kohda
Publisher : Springer Nature
Page : 388 pages
File Size : 46,7 Mb
Release : 2023-10-26
Category : Computers
ISBN : 9783031467813
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.
Author : Hirosato Seki,Canh Hao Nguyen,Van-Nam Huynh,Masahiro Inuiguchi
Publisher : Springer
Page : 455 pages
File Size : 55,9 Mb
Release : 2019-03-18
Category : Computers
ISBN : 9783030148157
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.
Author : Zengchang Qin,Van-Nam Huynh
Publisher : Springer
Page : 219 pages
File Size : 54,7 Mb
Release : 2013-06-20
Category : Computers
ISBN : 9783642395154
This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
Author : Van-Nam Huynh,Masahiro Inuiguchi,Bac Le,Bao Nguyen Le,Thierry Denoeux
Publisher : Springer
Page : 740 pages
File Size : 45,5 Mb
Release : 2016-11-21
Category : Computers
ISBN : 9783319490465
This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Author : Yongchuan Tang,Van-Nam Huynh,Jonathan Lawry
Publisher : Springer
Page : 272 pages
File Size : 54,6 Mb
Release : 2011-10-13
Category : Computers
ISBN : 9783642249181
This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2011, held in Hangzhou, China, in October 2011. The 21 revised full papers presented together with 1 keynote lecture and 5 invited talks were carefully reviewed and selected from 55 submissions. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
Author : Hirosato Seki,Canh Hao Nguyen,Van-Nam Huynh,Masahiro Inuiguchi
Publisher : Unknown
Page : 444 pages
File Size : 53,6 Mb
Release : 2019
Category : Uncertainty (Information theory)
ISBN : 3030148165
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.
Author : Van-Nam Huynh,Tomoe Entani,Chawalit Jeenanunta,Masahiro Inuiguchi,Pisal Yenradee
Publisher : Springer Nature
Page : 432 pages
File Size : 44,5 Mb
Release : 2020-11-02
Category : Computers
ISBN : 9783030625092
This book constitutes the refereed proceedings of the 8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020, held in Phuket, Thailand, in November 2020.* The 35 full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods. * The conference was held virtually due to the COVID-19 pandemic.
Author : Van-Nam Huynh,Masahiro Inuiguchi,Thierry Demoeux
Publisher : Unknown
Page : 128 pages
File Size : 47,5 Mb
Release : 2015
Category : Electronic
ISBN : 3319251368
This book constitutes the refereed proceedings of the 4th International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2015, held in Nha Trang, Vietnam, in October 2015. The 40 revised full papers were carefully reviewed and selected from 58 submissions and are presented together with three keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.
Author : Van-Nam Huynh,Masahiro Inuiguchi,Dang Hung Tran,Thierry Denoeux
Publisher : Springer
Page : 0 pages
File Size : 46,7 Mb
Release : 2018-02-04
Category : Computers
ISBN : 3319754289
This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.
Author : Cengiz Kahraman,Faik Tunc Bozbura,Etienne E Kerre
Publisher : World Scientific
Page : 1372 pages
File Size : 46,9 Mb
Release : 2012-08-10
Category : Computers
ISBN : 9789814417754
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.
Author : Vladik Kreinovich,Songsak Sriboonchitta,Nopasit Chakpitak
Publisher : Springer
Page : 780 pages
File Size : 53,5 Mb
Release : 2017-11-30
Category : Technology & Engineering
ISBN : 9783319709420
This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.