| 000 | 01881nam a22003611i 4500 | ||
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| 003 | TR-IsMEF | ||
| 005 | 20230707151418.0 | ||
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| 008 | 230703s2005 enkad o 001|0|eng d | ||
| 020 |
_a9780191712982 (ebook) : _cNo price |
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| 040 |
_aTR-IsMEF _beng _cTR-IsMEF _eTR-IsMEF |
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| 041 | 0 | _aeng | |
| 050 | 4 |
_aQA279.5 _b.W55 2005 |
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| 100 | 1 | 0 | _aWilliamson, Jon. |
| 245 | 1 | 0 |
_aBayesian nets and causality _h[electronic resource] : _bphilosophical and computational foundations / _cJon Williamson. |
| 250 | _aFirst published 2005. | ||
| 264 | 1 |
_aOxford : _bOxford University Press, _c2005. |
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| 300 |
_a1 online resource (ix, 239 pages) ; _billustrations, charts. |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 504 | _aIncludes bibliographical references (pages 219-224) and index (pages 235-239). | ||
| 520 | 8 | _aBayesian nets are used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions perform diagnoses, take decisions and even to discover causal relationships. This book brings together how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy. | |
| 588 | _aDescription based on print version record. | ||
| 650 | 0 | _aBayesian statistical decision theory. | |
| 650 | 0 | _aCausation. | |
| 776 | 0 | 8 |
_iPrint version _z9780198530794 |
| 856 | 4 | 0 |
_3e-book _zFull-text access _uhttps://ezproxy.mef.edu.tr/login?url=http://dx.doi.org/10.1093/acprof:oso/9780198530794.001.0001 |
| 900 | _aMEF Üniversitesi Kütüphane katalog kayıtları RDA standartlarına uygun olarak üretilmektedir / MEF University Library Catalogue Records are Produced Compatible by RDA Rules | ||
| 942 |
_2lcc _cBKS |
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| 999 |
_c30806 _d30806 |
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