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Machine learning and intelligent com...
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(1998 :)
Machine learning and intelligent communicationsfirst International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning and intelligent communicationsedited by Huang Xin-lin.
Reminder of title:
first International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /
remainder title:
MLICOM 2016
other author:
Xin-lin, Huang.
corporate name:
Published:
Cham :Springer International Publishing :2017.
Description:
xii, 414 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Machine learningCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-52730-7
ISBN:
9783319527307$q(electronic bk.)
Machine learning and intelligent communicationsfirst International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /
Machine learning and intelligent communications
first International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /[electronic resource] :MLICOM 2016edited by Huang Xin-lin. - Cham :Springer International Publishing :2017. - xii, 414 p. :ill., digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,1831867-8211 ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;60..
Data mining in heterogeneous networks -- decentralized learning for wireless communication systems -- intelligent cooperative/distributed coding, intelligent cooperative networks -- iIntelligent massive MIMO, -- time coded multi-user MIMO system based on three dimensional complementary codes -- intelligent positioning and navigation systems -- intelligent spectrum allocation schemes -- machine learning algorithm & -- cognitive radio networks, machine learning for multimedia.
This book constitutes the refereed post-conference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August 2016. The 41 revised full papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically: data mining in heterogeneous networks, decentralized learning for wireless communication systems, intelligent cooperative/distributed coding, intelligent cooperative networks, Intelligent massive MIMO, time coded multi-user MIMO System based on three dimensional complementary codes, intelligent positioning and navigation systems, intelligent spectrum allocation schemes, machine learning algorithm & cognitive radio networks, machine learning for multimedia.
ISBN: 9783319527307$q(electronic bk.)
Standard No.: 10.1007/978-3-319-52730-7doiSubjects--Topical Terms:
384498
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning and intelligent communicationsfirst International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /
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first International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016 : revised selected papers /
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Data mining in heterogeneous networks -- decentralized learning for wireless communication systems -- intelligent cooperative/distributed coding, intelligent cooperative networks -- iIntelligent massive MIMO, -- time coded multi-user MIMO system based on three dimensional complementary codes -- intelligent positioning and navigation systems -- intelligent spectrum allocation schemes -- machine learning algorithm & -- cognitive radio networks, machine learning for multimedia.
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This book constitutes the refereed post-conference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August 2016. The 41 revised full papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically: data mining in heterogeneous networks, decentralized learning for wireless communication systems, intelligent cooperative/distributed coding, intelligent cooperative networks, Intelligent massive MIMO, time coded multi-user MIMO System based on three dimensional complementary codes, intelligent positioning and navigation systems, intelligent spectrum allocation schemes, machine learning algorithm & cognitive radio networks, machine learning for multimedia.
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EB Q325.5 M685 2017
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http://dx.doi.org/10.1007/978-3-319-52730-7
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