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03395nam a22005295i 4500 |
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978-3-319-52730-7 |
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DE-He213 |
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20170202101310.0 |
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170202s2017 gw | s |||| 0|eng d |
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|a 9783319527307
|9 978-3-319-52730-7
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|a 10.1007/978-3-319-52730-7
|2 doi
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|a TK5105.5-5105.9
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|a UKN
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|a COM075000
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|a 004.6
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|a Machine Learning and Intelligent Communications
|h [electronic resource] :
|b First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers /
|c edited by Huang Xin-lin.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XII, 414 p. 200 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
|x 1867-8211 ;
|v 183
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|a 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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|a 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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| 650 |
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|a Computer science.
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| 650 |
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|a Computer communication systems.
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| 650 |
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|a Special purpose computers.
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| 650 |
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|a Data mining.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computer simulation.
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| 650 |
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4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Computer Communication Networks.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
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4 |
|a Special Purpose and Application-Based Systems.
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| 650 |
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|a Simulation and Modeling.
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| 700 |
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|a Xin-lin, Huang.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319527291
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| 830 |
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|a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
|x 1867-8211 ;
|v 183
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-52730-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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