MARC record from Internet Archive

LEADER: 03811cam 2200445 a 4500
001 9921149850001661
005 20150423133357.0
008 070123s2007 maua b 000 0 eng
010 $a 2007000951
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016 7 $a013761178$2Uk
020 $a9780262072885 (hardcover : alk. paper)
020 $a0262072882 (hardcover : alk. paper)
035 $a(CSdNU)u308605-01national_inst
035 $a(OCoLC)80019804
035 $a(OCoLC)80019804
035 $a(OCoLC)80019804
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049 $aCNUM
050 00 $aQA76.9.D3$bI68 2007
082 00 $a006.3/1$222
245 00 $aIntroduction to statistical relational learning /$cedited by Lise Getoor, Ben Taskar.
260 $aCambridge, Mass. :$bMIT Press,$cc2007.
300 $aix, 586 p. :$bill. ;$c26 cm.
440 0 $aAdaptive computation and machine learning
500 $a"Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm
504 $aIncludes bibliographical references.
505 0 $a1. Introduction / Lise Getoor and Ben Taskar -- 2. Graphical models in a nutshell / Daphne Koller, Nir Friedman, Lise Getoor and Ben Taskar -- 3. Inductive logic programming in a nutshell / Saso Dzeroski -- 4. An introduction to conditional random fields for relational learning / Charles Sutton and Andrew McCallum -- 5. Probabilistic relational models / Lise Getoor, Nir Friedman, Daphne Koller, Avi Pfeffer and Ben Taskar -- 6. Relational Markov networks / Ben Taskar, Pieter Abbeel, Ming-Fai Wong and Daphne Koller -- 7. Probabilistic entity-relationship models, PRMs, and plate models / David Heckerman, Chris Meek and Daphne Koller -- 8. Relational dependency networks / Jennifer Neville and David Jensen -- 9. Logic-based formalisms for statistical relational learning / James Cussens -- 10. Bayesian logic programming : theory and tool / Kristian Kersting and Luc De Raedt -- 11. Stochastic logic programs : a tutorial / Stephen Muggleton and Niels Pahlavi -- 12. Markov logic : a unifying framework for statistical relational learning / Pedro Domingos and Matthew Richardson -- 13. BLOG : probabilistic models with unknown objects / Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong and Andrey Kolobov -- 14. The design and implementation of IBAL : a general-purpose probabilistic language / Avi Pfeffer -- 15. Lifted first-order probabilistic inference / Rodrigo de Salvo Braz, Eyal Amir and Dan Roth -- 16. Feature generation and selection in multi-relational statistical learning / Alexandrin Popescul and Lyle H. Ungar -- 17. Learning a new view of a database : with an application in mammography / Jesse Davis, Elizabeth Burnside, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik and Vitor Santos Costa -- 18. Reinforcement learning in relational domains : a policy-language approach / Alan Fern, SungWook Yoon and Robert Givan -- 19. Statistical relational learning for natural language information extraction / Razvan C. Bunescu and Raymond J. Mooney -- 20. Global inference for entity and relation identification via a linear programming formulation / Dan Roth and Wen-tau Yih.
650 0 $aRelational databases.
650 0 $aMachine learning$xStatistical methods.
650 0 $aComputer algorithms.
700 1 $aGetoor, Lise.
700 1 $aTaskar, Ben.
938 $aBaker & Taylor$bBKTY$c50.00$d50.00$i0262072882$n0007198242$sactive
938 $aBaker and Taylor$bBTCP$nBK0007198242
938 $aYBP Library Services$bYANK$n2537124
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949 $aQA 76.9.D3 I68 2007$i31786102210009
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999 $aQA 76.9 .D3 I68 2007$wLC$c1$i31786102210009$lCIRCSTACKS$mNULS$rY$sY $tBOOK$u10/30/2007