Logo

Information Theory, Inference, and Learning Algorithms

Large book cover: Information Theory, Inference, and Learning Algorithms

Information Theory, Inference, and Learning Algorithms
by

Publisher: Cambridge University Press
ISBN/ASIN: 0521642981
ISBN-13: 9780521642989
Number of pages: 640

Description:
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook 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. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Around Kolmogorov Complexity: Basic Notions and ResultsAround Kolmogorov Complexity: Basic Notions and Results
by - arXiv.org
Algorithmic information theory studies description complexity and randomness. This text covers the basic notions of algorithmic information theory: Kolmogorov complexity, Solomonoff universal a priori probability, effective Hausdorff dimension, etc.
(599 views)
Book cover: Exploring RandomnessExploring Randomness
by - Springer
This book presents the core of Chaitin's theory of program-size complexity, also known as algorithmic information theory. LISP is used to present the key algorithms and to enable computer users to interact with the author's proofs.
(10037 views)
Book cover: Information-Theoretic IncompletenessInformation-Theoretic Incompleteness
by - World Scienti c
In this mathematical autobiography, Gregory Chaitin presents a technical survey of his work and a non-technical discussion of its significance. The technical survey contains many new results, including a detailed discussion of LISP program size.
(4823 views)
Book cover: Entropy and Information TheoryEntropy and Information Theory
by - Springer
The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.
(10632 views)