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Large-Sample Learning of Bayesian Networks is NP-Hard

Large-Sample Learning of Bayesian Networks is NP-Hard

19 October 2012
D. M. Chickering
Christopher Meek
David Heckerman
    BDL
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Papers citing "Large-Sample Learning of Bayesian Networks is NP-Hard"

17 / 167 papers shown
Title
CAPRI: Efficient Inference of Cancer Progression Models from
  Cross-sectional Data
CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data
Daniele Ramazzotti
G. Caravagna
L. O. Loohuis
Alex Graudenzi
I. Korsunsky
G. Mauri
M. Antoniotti
B. Mishra
28
81
0
19 Aug 2014
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical
  Data Problems
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
Khalifeh AlJadda
M. Korayem
Camilo Ortiz
Trey Grainger
J. Miller
W. York
21
18
0
21 Jul 2014
Learning Bayesian Network Equivalence Classes with Ant Colony
  Optimization
Learning Bayesian Network Equivalence Classes with Ant Colony Optimization
Rónán Daly
Q. Shen
60
70
0
15 Jan 2014
Learning Sparse Causal Models is not NP-hard
Learning Sparse Causal Models is not NP-hard
Tom Claassen
Joris Mooij
Tom Heskes
CML
51
117
0
26 Sep 2013
SparsityBoost: A New Scoring Function for Learning Bayesian Network
  Structure
SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure
Eliot Brenner
David Sontag
51
41
0
26 Sep 2013
A Transformational Characterization of Equivalent Bayesian Network
  Structures
A Transformational Characterization of Equivalent Bayesian Network Structures
D. M. Chickering
151
416
0
20 Feb 2013
Learning Polytrees
Learning Polytrees
S. Dasgupta
TPM
62
129
0
23 Jan 2013
Local Structure Discovery in Bayesian Networks
Local Structure Discovery in Bayesian Networks
Teppo Niinimaki
P. Parviainen
50
43
0
16 Oct 2012
Ordering-Based Search: A Simple and Effective Algorithm for Learning
  Bayesian Networks
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks
M. Teyssier
D. Koller
39
370
0
04 Jul 2012
Learning Factor Graphs in Polynomial Time & Sample Complexity
Learning Factor Graphs in Polynomial Time & Sample Complexity
Pieter Abbeel
D. Koller
A. Ng
43
15
0
04 Jul 2012
A simple approach for finding the globally optimal Bayesian network
  structure
A simple approach for finding the globally optimal Bayesian network structure
T. Silander
P. Myllymäki
TPM
52
395
0
27 Jun 2012
Convex Structure Learning for Bayesian Networks: Polynomial Feature
  Selection and Approximate Ordering
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering
Yuhong Guo
Dale Schuurmans
TPM
40
15
0
27 Jun 2012
Bayesian network learning with cutting planes
Bayesian network learning with cutting planes
James Cussens
29
254
0
14 Feb 2012
Structure Learning of Probabilistic Graphical Models: A Comprehensive
  Survey
Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey
Yang Zhou
TPM
58
27
0
29 Nov 2011
Spectral Methods for Learning Multivariate Latent Tree Structure
Spectral Methods for Learning Multivariate Latent Tree Structure
Omer Tamuz
Ce Liu
Daniel J. Hsu
Ohad Shamir
Serge J. Belongie
Tong Zhang
42
251
0
07 Jul 2011
Finding Consensus Bayesian Network Structures
Finding Consensus Bayesian Network Structures
J. Peña
54
35
0
10 Jan 2011
An Algorithm for Learning the Essential Graph
An Algorithm for Learning the Essential Graph
J. Noble
57
0
0
14 Jul 2010
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