MARC details
| 000 -LEADER |
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| fixed length control field |
02013nam a2200193Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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210916s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780521670517 |
| Qualifying information |
pbk. |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
003.54 |
| Item number |
MAC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
MacKay, David J. C. |
| 245 #0 - TITLE STATEMENT |
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| Title |
Information theory inference and learning algorithms |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
Cambridge |
| Date of publication, distribution, etc. |
2003 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xii, 628p., |
| 500 ## - GENERAL NOTE |
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| General note |
https://www.cambridge.org/in/academic/subjects/computer-science/pattern-recognition-and-machine-learning/information-theory-inference-and-learning-algorithms?format=HB |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computer science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information theory |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Probabilities |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
400 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
426 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
492 |
