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1302.6815
Cited By
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
27 February 2013
David Heckerman
D. Geiger
D. M. Chickering
TPM
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Papers citing
"Learning Bayesian Networks: The Combination of Knowledge and Statistical Data"
16 / 366 papers shown
Title
On Identifying Significant Edges in Graphical Models of Molecular Networks
M. Scutari
R. Nagarajan
60
167
0
05 Apr 2011
Bayes factors and the geometry of discrete hierarchical loglinear models
G. Letac
H. Massam
48
16
0
28 Mar 2011
Bayesian Network Structure Learning with Permutation Tests
M. Scutari
A. Brogini
55
25
0
27 Jan 2011
Efficient Independence-Based MAP Approach for Robust Markov Networks Structure Discovery
F. Bromberg
F. Schlüter
42
3
0
18 Jan 2011
An asymptotic approximation of the marginal likelihood for general Markov models
Piotr Zwiernik
57
4
0
03 Dec 2010
A Probabilistic Approach for Learning Folksonomies from Structured Data
Anon Plangprasopchok
Kristina Lerman
Lise Getoor
53
17
0
16 Nov 2010
A Brief Introduction to Temporality and Causality
K. Karimi
CML
60
9
0
14 Jul 2010
An Algorithm for Learning the Essential Graph
J. Noble
57
0
0
14 Jul 2010
Introduction to Graphical Modelling
M. Scutari
K. Strimmer
92
10
0
06 May 2010
Learning the Structure of Deep Sparse Graphical Models
Ryan P. Adams
Hanna M. Wallach
Zoubin Ghahramani
74
87
0
31 Dec 2009
Geometric Representations of Random Hypergraphs
Simón Lunagómez
S. Mukherjee
R. Wolpert
E. Airoldi
48
16
0
18 Dec 2009
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs
Ali Shojaie
George Michailidis
CML
79
200
0
28 Nov 2009
Learning Bayesian Networks with the bnlearn R Package
M. Scutari
BDL
114
1,711
0
26 Aug 2009
Dependence Structure Estimation via Copula
Jian Ma
Zeng-qi Sun
43
9
0
28 Apr 2008
iBOA: The Incremental Bayesian Optimization Algorithm
Martin Pelikan
K. Sastry
D. Goldberg
110
33
0
21 Jan 2008
Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes
Martin Pelikan
119
50
0
21 Jan 2008
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