Maschinelles Lernen in der Nachrichtentechnik

Kontakt: Dirk Wübben

Beteiligte Mitarbeiter

• E. Beck
• S. Hassanpour
• M. Hummert
• T. Monsees

Beschreibung

Publikationen

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2018

• 5G as Enabler for Industrie 4.0 Use Cases: Challenges and Concepts BibT_EX
  M. Gundall, M. Aleksy, N. Franchi, C. Markwart, D. Wübben, A. Neumann, M. Düngen, T. Neugebauer, M. Kus, J. Grießbach
  IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA 2018), Torino, Italien, 4. - 7. September 2018, DOI
• On the Equivalence of Two Information Bottleneck-Based Routines Devised for Joint Source-Channel Coding BibT_EX
  S. Hassanpour, D. Wübben, A. Dekorsy
  25th Int. Conference on Telecommunication (ICT 2018), Saint-Malo, Frankreich, 26. - 28. Juni 2018, DOI
• On the Equivalence of Double Maxima and KL-Means for Information Bottleneck-Based Source Coding BibT_EX
  S. Hassanpour, D. Wübben, A. Dekorsy
  IEEE Wireless Communications and Networking Conference (WCNC 2018), Barcelona, Spanien, 15. - 18. April 2018, DOI

2017

• The Information Bottleneck Method: Fundamental Idea and Algorithmic Implementations BibT_EX
  D. Wübben
  10th Asia-Europe Workshop on Concepts in Information Theory (AEW 2017), Boppard, Deutschland, 21. - 23. Juni 2017, ISBN 978-90-74249-29-4
• On the Relation Between the Asymptotic Performance of Different Algorithms for IB Framework BibT_EX
  S. Hassanpour, D. Wübben, A. Dekorsy, B. Kurkoski
  IEEE Int. Conference on Communications (ICC 2017), Paris, Frankreich, 21. - 25. Mai 2017, DOI
• Overview and Investigation of Algorithms for the Information Bottleneck Method BibT_EX
  S. Hassanpour, D. Wübben, A. Dekorsy
  11th Int. ITG Conference on Systems, Communications and Coding (SCC 2017), Hamburg, Deutschland, 6. - 9. Februar 2017

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