| 000 | 01053 a2200217 4500 | ||
|---|---|---|---|
| 003 | Nust | ||
| 005 | 20170207154015.0 | ||
| 010 | _a 2003055133 | ||
| 020 | _a0521642981 | ||
| 040 | _cNust | ||
| 082 | 0 | 0 | _a003.54 |
| 100 | 1 | _aMacKay, David J. C. | |
| 245 | 1 | 0 |
_aInformation theory, inference, and learning algorithms -(E-BOOK) _cDavid J.C. MacKay. |
| 260 |
_aCambridge, UK ; _aNew York : _bCambridge University Press, _c2003. |
||
| 300 |
_axii, 628 p. : _bill. ; _c26 cm. |
||
| 505 | _a Introduction to Information Theory (Page-3),Probability, Entropy, and Inference (Page-22),More about Inference (Page-48),Data Compression(Page-65), Noisy-Channel Coding (Page-137), Further Topics in Information Theory (Page-191), Probabilities and Inference (Page-281),Neural networks (Page-467),Sparse Graph Codes (Page-555). | ||
| 650 | 0 | _aInformation theory. | |
| 651 | _aE-BOOK | ||
| 856 | 4 | 2 |
_3Publisher description _uhttp://www.loc.gov/catdir/description/cam032/2003055133.html |
| 856 | 4 | 2 |
_3Table of contents _uhttp://www.loc.gov/catdir/toc/cam031/2003055133.html |
| 942 |
_2ddc _cBK |
||
| 999 |
_c191383 _d191383 |
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