Information Theory, Inference, and Learning Algorithms

MacKay, D. J. C. (2003). Information Theory, Inference, and Learning Algorithms. Cambridge University Press.

Type

Book chapter

Intellectual base

Review or monograph

Year

2003

Link

https://www.inference.org.uk/itila/

Cited from

information_theory

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Compression
  • Compression is the encoding of information in a representation shorter than the original, exploiting redundancy (statistical regularity, structural predictability, perceptual unimportance)

    This sourceIntegrates information theory with inference and machine learning; covers source coding, redundancy, arithmetic coding, and lossy coding. SUPPORTS marker 166 (redundancy = statistical regularity / structural predictability / perceptual unimportance). PARTIALLY supports marker 179 (T5: 'audio from predictive coding') — MacKay is a general info-theory text and does not specifically treat audio predictive coding; the source/predictive-coding material is generic. Link is the author's official free-book page. See flag on 179.

Domain-specific

• Binary erasure channel
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
• Linear separability
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.

Verification

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Registry ID ref:6279d4607260 · see in the full table