Tools

LEADER 03913cam a2200841 a 4500

001 ocn141385221;

003 OCoLC;

005 20170929045307.7;

008 070608s2007 nyua b 001 0 eng c;

010 a| 2006938666;

020 a| 0387682813;

020 a| 9780387682815;

020 a| 9780387682822q| (e-ISBN);

020 a| 0387682821q| (e-ISBN);

020 a| 9781441923943;

020 a| 1441923942;

024 3 a| 9780387682815;

035 a| (Sirsi) 99985532140;

035 a| 99985532140;

035 a| (OCoLC)141385221;

042 a| pcc;

050 00 a| QA279.5b| .J45 2007;

082 00 a| 519.5/422| 22;

084 a| 31.732| bcl;

084 a| DAT 717f2| stub;

084 a| MAT 624f2| stub;

084 a| SK 8302| rvk;

084 a| ST 2852| rvk;

084 a| ST 3002| rvk;

084 a| ST 3012| rvk;

100 1 a| Jensen, Finn V.=| ^A491282;

245 10 a| Bayesian networks and decision graphs /c| Finn V. Jensen, Thomas D. Nielsen.;

250 a| 2nd ed.;

300 a| xvi, 447 pages :b| illustrations ;c| 25 cm.;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

490 1 a| Information science and statistics;

504 a| Includes bibliographical references (pages 431-439) and index.;

505 0 a| Prerequisites on probability theory -- pt. 1. Probabilistic graphical models -- Causal and Bayesian networks -- Building models -- Belief updating in Bayesian networks -- Analysis tools for Bayesian networks -- Parameter estimation -- Learning the structure of Bayesian networks -- Bayesian networks as classifiers -- pt. 2. Decision graphs -- Graphical languages for specification of decision problems -- Solution methods for decision graphs -- Methods for analyzing decision problems.;

520 1 a| "The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models."--Jacket.;

650 0 a| Bayesian statistical decision theoryx| Data processing.=| ^A20878;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Neural networks (Computer science)=| ^A263002;

650 0 a| Decision making.=| ^A1353;

650 6 a| Statistique bayésiennex| Informatique.;

650 6 a| Apprentissage automatique.;

650 6 a| Réseaux neuronaux (Informatique);

650 6 a| Prise de décision.;

650 7 a| Bayesian statistical decision theoryx| Data processing.2| fast0| (OCoLC)fst00829020;

650 7 a| Decision making.2| fast0| (OCoLC)fst00889035;

650 7 a| Machine learning.2| fast0| (OCoLC)fst01004795;

650 7 a| Neural networks (Computer science)2| fast0| (OCoLC)fst01036260;

650 07 a| Bayes-Entscheidungstheorie.0| (DE-588)4144220-92| gnd;

650 07 a| Entscheidungsgraph.0| (DE-588)4362839-42| gnd;

650 07 a| Neuronales Netz.0| (DE-588)4226127-22| gnd;

650 7 a| Inferência bayesiana (inferência estatística)2| larpcal;

650 7 a| Teoria da decisão.2| larpcal;

650 7 a| Redes neurais.2| larpcal;

650 07 a| Bayes-Entscheidungstheorie.2| swd;

650 07 a| Entscheidungsgraph.2| swd;

650 07 a| Neuronales Netz.2| swd;

650 7 a| Beslutsteorix| matematisk statistik.2| sao;

650 7 a| Spelteori.2| sao;

700 1 a| Nielsen, Thomas Dyhre.=| ^A1252854;

830 0 a| Information science and statistics.=| ^A590070;

949 i| 30372017371912o| jjlm;

960 o| 1s| 119.99t| Joyner48u| JETCz| USD;

596 a| 1;

998 a| 5525699;

999 a| QA279.5 .J45 2007w| LCc| 1i| 30372017371912d| 3/11/2021e| 12/14/2020l| JGESm| JOYNERr| Ys| Yt| JGESBKu| 12/14/2020x| BOOKz| JSTACKSo| .STAFF. jjlm;

Bayesian networks and decision graphs / Finn V. Jensen, Thomas D. Nielsen.

Author/creator	Jensen, Finn V.
Other author	Nielsen, Thomas Dyhre.
Format	Book
Edition	2nd ed.
Publication Info	New York : Springer, ©2007.
Description	xvi, 447 pages : illustrations ; 25 cm.
Subjects	Bayesian statistical decision theory--Data processing. Machine learning. Neural networks (Computer science) Decision making. Statistique bayésienne--Informatique. Apprentissage automatique. Réseaux neuronaux (Informatique) Prise de décision.

Series	Information science and statistics Information science and statistics. ^A590070
Contents	Prerequisites on probability theory -- pt. 1. Probabilistic graphical models -- Causal and Bayesian networks -- Building models -- Belief updating in Bayesian networks -- Analysis tools for Bayesian networks -- Parameter estimation -- Learning the structure of Bayesian networks -- Bayesian networks as classifiers -- pt. 2. Decision graphs -- Graphical languages for specification of decision problems -- Solution methods for decision graphs -- Methods for analyzing decision problems.
Review	"The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models."--Jacket.
Bibliography note	Includes bibliographical references (pages 431-439) and index.
LCCN	2006938666
ISBN	0387682813
ISBN	9780387682815
ISBN	9780387682822 (e-ISBN)
ISBN	0387682821 (e-ISBN)
ISBN	9781441923943
ISBN	1441923942
Standard identifier#	9780387682815

Availability

Library	Location	Call Number	Status	Item Actions
Joyner	General Stacks	QA279.5 .J45 2007	✔ Available	Place Hold

Bayesian networks and decision graphs / Finn V. Jensen, Thomas D. Nielsen.

Click here for more information about this title

Availability