Author: David J. C. MacKay
Edition: First Edition
Binding: Hardcover
ISBN: 0521642981
Publisher: Cambridge University Press
Features:
Edition: First Edition
Binding: Hardcover
ISBN: 0521642981
Publisher: Cambridge University Press
Features:
Information Theory, Inference and Learning Algorithms
Information theory and inference, often taught separately, are here united in one entertaining textbook. Search and download computer ebooks Information Theory, Inference and Learning Algorithms for free.
Categories: Information theory in biology. Contributors: John Scales Avery - Author. Format: Paperback. Download Information Theory computer ebooks
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
Uncertainty-Based Information: Elements of Generalized Information Theory
Categories: Fuzzy systems, Information theory, Soft computing. Contributors: George J. Klir - Author. Format: Hardcover
Categories: Data transmission systems, Information theory, Telecommunication. Contributors: Robert G. Gallager - Author. Format: Paperback
Categories: Information theory. Contributors: Solomon Kullback - Author. Format: Paperback
Categories: Computer algorithms, Information theory in mathematics. Contributors: Peter Seibt - Author. Format: Hardcover
Information Theory Free
A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools
