£94.94

Analytic Information Theory: From Compression to Learning

Information Systems

Price data last checked 182 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

About as cheap as it gets. The only time it was cheaper was 9 months ago.

£95 today · all-time low £93 (Aug 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 403 days • 403 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 403 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £102 (152 days, 37.7%)

Price range: £93 - £103

Price levels: 6 different prices over 403 days

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

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

Barcode

No barcode data available

Analytic Information Theory: From Compression to Learning

About as cheap as it gets. The only time it was cheaper was 9 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Information and Coding Theory in Computer Science

Introduction to Information Theory and Data Compression (Applied Mathematics)

Introduction to Information Theory and Data Compression (Applied Mathematics)

Fundamentals of Information Theory and Coding Design (Discrete Mathematics and Its Applications)

Information Theory and Coding: Information, Source Coding and Channel Coding

Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Foundations and Trends in Communications and Information Theory)

Information-Theoretic Methods in Data Science

Information Theory: From Coding to Learning

Information and Communication Theory (IEEE Series on Digital & Mobile Communication)

Information Theory, Inference and Learning Algorithms

Information Theory and Coding - Solved Problems

Introduction to Information Theory and Coding:: Probability, Entropy, Channels, and Error Detection and Correction Codes

Information Theory for Data Science (NowOpen)

Elements of Information Theory

Universal Compression and Retrieval: 274 (Mathematics and Its Applications, 274)

Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)

Information Theory and Coding by Example

Group Testing: An Information Theory Perspective (Foundations and Trends® in Communications and Information Theory)

Compression and Coding Algorithms: 669 (The Springer International Series in Engineering and Computer Science, 669)

Source Coding: Part I of Fundamentals of Source and Video Coding (Foundations and Trends (R) in Signal Processing)

Multimedia Signal Coding and Transmission (Signals and Communication Technology)

Introduction to Data Compression (The Morgan Kaufmann Series in Multimedia Information and Systems)

Information Theory and Reliable Communication

The Mathematics of Information Coding, Extraction and Distribution: 107 (The IMA Volumes in Mathematics and its Applications, 107)