Main Title |
Learning Bayesian networks / |
Author |
Neapolitan, Richard E.,
|
Publisher |
Pearson Prentice Hall, |
Year Published |
2004 |
OCLC Number |
52534097 |
ISBN |
0130125342; 9780130125347 |
Subjects |
Bayesian statistical decision theory ;
Machine learning ;
Neural networks (Computer science) ;
Kunstmatige intelligentie ;
Methode van Bayes ;
Infer encia bayesiana (infer encia estat istica) ;
Aprendizado computacional ;
Redes neurais ;
Inferãencia bayesiana (inferãencia estatâistica)
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EKCM |
QA279.5.N436 2004 |
|
CEMM/GEMMD Library/Gulf Breeze,FL |
03/28/2011 |
ELDM |
QA279.5.N436 2004 |
|
CCTE/GLTED Library/Duluth,MN |
04/22/2005 |
|
Collation |
xv, 674 pages : illustrations ; 24 cm |
Notes |
Includes bibliographical references (pages 647-666) and index. |
Contents Notes |
Basics. Introduction to Bayesian networks ; More DAG/Probability relationships -- Interface. Inference : discrete variables ; More inference algorithms ; Influence diagrams -- Learning. Parameter learning : binary variables ; More parameter learning ; Bayesian structure learning ; Approximate Bayesian structure learning ; Constraint-based learning ; More structure learning -- Applications. "Learning Bayesian Networks offers the first accessible and unified text on the study and application of Bayesian networks. This book serves as a key textbook or reference for anyone with an interest in probabilistic modeling in the fields of computer science, computer engineering, and electrical engineering. This text is also a valuable supplemental resource for courses on expert systems, machine learning, and artificial intelligence."--Jacket |
Place Published |
Upper Saddle River, N.J. |
PUB Date Free Form |
c2004 |
BIB Level |
m |
Cataloging Source |
OCLC/T |
LCCN |
2004296044 |
Merged OCLC records |
1168633932; 1169838072; 1172190773 |
OCLC Time Stamp |
20110325164351 |
Language |
eng |
Origin |
OCLC |
Type |
CAT |
OCLC Rec Leader |
01925cam 2200433Ia 45020 |