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£97.00

Cambridge University Press Analytic Information Theory: From Compression to Learning

Name: Analytic Information Theory: From Compression to Learning
Brand: Cambridge University Press
Price: 97.0 GBP
Availability: InStock

Information Systems

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Description

Through information theory, problems of communication and compression can be precisely modeled, formulated, and analyzed, and this information can be transformed by means of algorithms. Also, learning can be viewed as compression with side information. Aimed at students and researchers, this book addresses data compression and redundancy within existing methods and central topics in theoretical data compression, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes. It shows that to present better learnable or extractable information in its shortest description, one must understand what the information is, and then algorithmically extract it in its most compact form via an efficient compression algorithm. Part I covers fixed-to-variable codes such as Shannon and Huffman codes, variable-to-fixed codes such as Tunstall and Khodak codes, and variable-to-variable Khodak codes for known sources. Part II discusses universal source coding for memoryless, Markov, and renewal sources.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108474446
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 07 September 2023
Listed Since: 07 March 2023

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Cambridge University Press Analytic Information Theory: From Compression to Learning

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