03046nam a22005175i 4500
978-3-540-85066-3
DE-He213
20141014113530.0
cr nn 008mamaa
100301s2008 gw | s |||| 0|eng d
9783540850663
978-3-540-85066-3
10.1007/978-3-540-85066-3
doi
eng
TA329-348
TA640-643
TBJ
bicssc
MAT003000
bisacsh
519
23
Holmes, Dawn E.
editor.
Innovations in Bayesian Networks
[electronic resource] :
Theory and Applications /
edited by Dawn E. Holmes, Lakhmi C. Jain.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
online resource.
text
txt
rdacontent
computer
c
rdamedia
online resource
cr
rdacarrier
text file
PDF
rda
Studies in Computational Intelligence,
1860-949X ;
156
to Bayesian Networks -- A Polemic for Bayesian Statistics -- A Tutorial on Learning with Bayesian Networks -- The Causal Interpretation of Bayesian Networks -- An Introduction to Bayesian Networks and Their Contemporary Applications -- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer -- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks -- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data -- Causal Graphical Models with Latent Variables: Learning and Inference -- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem -- Toward a Generalized Bayesian Network -- A Survey of First-Order Probabilistic Models.
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.
Engineering.
Artificial intelligence.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
Jain, Lakhmi C.
editor.
SpringerLink (Online service)
Springer eBooks
Printed edition:
9783540850656
Studies in Computational Intelligence,
1860-949X ;
156
http://dx.doi.org/10.1007/978-3-540-85066-3
ZDB-2-ENG
EB
3408
3408