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Special Issue "Information Theory and Graphical Models"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory".

Deadline for manuscript submissions: 15 December 2017

Special Issue Editor

Guest Editor
Prof. Dr. Teemu Roos

Department of Computer Science and Helsinki Institute for Information Technology HIIT, Exactum building, A322, PO Box 68, FI-00014 University of Helsinki, Finland
Website | E-Mail
Interests: machine learning and big data; computational statistics; probabilistic graphical models; information theory; digital humanities

Special Issue Information

Dear Colleagues,

Graphical models are an elegant framework for representing, learning, and manipulating multivariate distributions. They are used in all areas of statistics, machine learning, and artificial intelligence. Graphical models have also had a pivotal role in information theory from its early days on until the present day: One can mention examples from Markov chains and other sequence models to graph-based LDPC codes and network information theory, and beyond.

This Special Issue brings together the current trends at the intersection of information theory and graphical models with an emphasis on fundamental limits and new theoretical concepts that have potential to change the way we approach modelling problems and to bring forth new technical solutions in various applications.

We welcome contributions in mathematics, statistics, computer science and engineering, natural sciences, and philosophy, as well as novel applications of information theory and graphical models in new areas.

Prof. Dr. Teemu Roos
Guest Editor

Keywords

  • graph-based source and channel coding
  • network information theory
  • information-theoretic limits of learning in graphical models
  • minimax estimation in graphical models
  • information criteria for model selection
  • maximum entropy methods for graphical models
  • information geometry on graphs

Published Papers

This special issue is now open for submission.

Journal Contact

MDPI AG
Entropy Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
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Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
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