Network coding theory part I: single source

RW Yeung, SYR Li, N Cai… - Foundations and Trends® …, 2006 - nowpublishers.com
Store-and-forward had been the predominant technique for transmitting information through
a network until its optimality was refuted by network coding theory. Network coding offers a …

Network coding theory: A survey

R Bassoli, H Marques, J Rodriguez… - … Surveys & Tutorials, 2013 - ieeexplore.ieee.org
This article surveys all known fields of network coding theory and leads the reader through
the antecedents of the network coding theory to the most recent results, considering also …

Submodularity in machine learning and artificial intelligence

J Bilmes - arxiv preprint arxiv:2202.00132, 2022 - arxiv.org
In this manuscript, we offer a gentle review of submodularity and supermodularity and their
properties. We offer a plethora of submodular definitions; a full description of a number of …

[Књига][B] Information theory and network coding

RW Yeung - 2008 - books.google.com
This book is an evolution from my book A First Course in Information Theory published in
2002 when network coding was still at its infancy. The last few years have witnessed the …

[PDF][PDF] Lecture notes on information theory

Y Polyanskiy, Y Wu - Lecture Notes for ECE563 (UIUC) and, 2014 - Citeseer
“There is a whole book of readymade, long and convincing, lavishly composed telegrams for
all occasions. Sending such a telegram costs only twenty-five cents. You see, what gets …

The holographic entropy cone

N Bao, S Nezami, H Ooguri, B Stoica, J Sully… - Journal of High Energy …, 2015 - Springer
A bstract We initiate a systematic enumeration and classification of entropy inequalities
satisfied by the Ryu-Takayanagi formula for conformal field theory states with smooth …

[Књига][B] Entropy in dynamical systems

T Downarowicz - 2011 - books.google.com
This comprehensive text on entropy covers three major types of dynamics: measure
preserving transformations; continuous maps on compact spaces; and operators on function …

[Књига][B] A first course in information theory

RW Yeung - 2012 - books.google.com
A First Course in Information Theory is an up-to-date introduction to information theory. In
addition to the classical topics discussed, it provides the first comprehensive treatment of the …

Submodular combinatorial information measures with applications in machine learning

R Iyer, N Khargoankar, J Bilmes… - Algorithmic Learning …, 2021 - proceedings.mlr.press
Abstract Information-theoretic quantities like entropy and mutual information have found
numerous uses in machine learning. It is well known that there is a strong connection …

On characterization of entropy function via information inequalities

Z Zhang, RW Yeung - IEEE transactions on information theory, 1998 - ieeexplore.ieee.org
Given n discrete random variables/spl Omega/={X/sub 1/,/spl middot//spl middot//spl middot/,
X/sub n/}, associated with any subset/spl alpha/of (1, 2,/spl middot//spl middot//spl middot …