Information theory, inference, and learning algorithms
(Book)

Book Cover
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Status
General Shelving - 3rd Floor
Q360 .M23 2003
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General Shelving - 3rd FloorQ360 .M23 2003On Shelf

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Format
Book
Physical Desc
xii, 628 pages : illustrations ; 26 cm
Language
English

Notes

Bibliography
Includes bibliographical references (pages 613-619) and index.
Description
"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."--Jacket.
Local note
SACFinal081324

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Citations

APA Citation, 7th Edition (style guide)

MacKay, D. J. C. (2003). Information theory, inference, and learning algorithms . Cambridge University Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

MacKay, David J. C. 2003. Information Theory, Inference, and Learning Algorithms. Cambridge, UK ; New York: Cambridge University Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

MacKay, David J. C. Information Theory, Inference, and Learning Algorithms Cambridge, UK ; New York: Cambridge University Press, 2003.

Harvard Citation (style guide)

MacKay, D. J. C. (2003). Information theory, inference, and learning algorithms. Cambridge, UK ; New York: Cambridge University Press.

MLA Citation, 9th Edition (style guide)

MacKay, David J. C. Information Theory, Inference, and Learning Algorithms Cambridge University Press, 2003.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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