| Record ID | ia:probabilisticgra0000koll |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/probabilisticgra0000koll/probabilisticgra0000koll_marc.xml |
| Download MARC binary | https://www.archive.org/download/probabilisticgra0000koll/probabilisticgra0000koll_meta.mrc |
LEADER: 00863cam a2200241 a 4500
001 2009008615
003 DLC
005 20100319091343.0
008 090227s2009 maua b 001 0 eng
010 $a 2009008615
020 $a9780262013192 (hardcover : alk. paper)
040 $aDLC$cDLC$dDLC
050 00 $aQA279.5$b.K65 2009
082 00 $a519.5/420285$222
100 1 $aKoller, Daphne.
245 10 $aProbabilistic graphical models :$bprinciples and techniques /$cDaphne Koller and Nir Friedman.
260 $aCambridge, MA :$bMIT Press,$cc2009.
300 $axxi, 1231 p. :$bill. ;$c24 cm.
490 0 $aAdaptive computation and machine learning
504 $aIncludes bibliographical references (p. [1171]-1207) and indexes.
650 0 $aGraphical modeling (Statistics)
650 0 $aBayesian statistical decision theory$xGraphic methods.
700 1 $aFriedman, Nir.