| Title : | Information theory, inference, and learning algorithms | | Material Type: | printed text | | Authors: | MacKay David J. C. | | Publisher: | Cambridge, UK : Cambridge University Press | | Publication Date: | 2003 | | Pagination: | xii, 628 p. | | Layout: | ill. | | Size: | 26 cm | | ISBN (or other code): | 978-0-521-64298-9 | | Price: | 1500.00 | | Descriptors: | [LCSH]Information Theory
| | Class number: | Q360 | | Abstract: | "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."--BOOK JACKET. | | Curricular : | BSCS/MSIT | | Record link: | http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=21409 |
Information theory, inference, and learning algorithms [printed text] / MacKay David J. C. . - Cambridge, UK : Cambridge University Press, 2003 . - xii, 628 p. : ill. ; 26 cm. ISBN : 978-0-521-64298-9 : 1500.00 | Descriptors: | [LCSH]Information Theory
| | Class number: | Q360 | | Abstract: | "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."--BOOK JACKET. | | Curricular : | BSCS/MSIT | | Record link: | http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=21409 |
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Information theory, inference, and learning algorithms / MacKay David J. C. / Cambridge, UK : Cambridge University Press - 2003 
