Table of contents
The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction.
Information Theory and Reliable Communication: Course held at the Department for Automation and Information July 1970
The Second Edition features: Chapters reorganized to improve teaching 200 new problems New material on source coding, portfolio theory, and feedback capacity Updated references Now current and enhanced, the Second Edition of Elements of ...
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning.
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science.
Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.
Decision Theory = Probability + Utility Theory + + Universal Induction = Ockham + Bayes + Turing = = A Unified View of Artificial Intelligence This book presents sequential decision theory from a novel algorithmic information theory ...
This book offers a self-contained and concise introduction to causal models and how to learn them from data.
Proof of Theorem 23.9 To prove the theorem we follow an approach due to (B araniuk, Davenport, DeVore & Wakin 2008). The idea is to combine the J ohnson-Lindenstrauss (J L) lemma with a simple covering argument.
This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany.