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Learning Bayesian Networks that enable full propagation of evidence
v1v2 (latest)

Learning Bayesian Networks that enable full propagation of evidence

IEEE Access (IEEE Access), 2020
9 April 2020
Anthony C. Constantinou
ArXiv (abs)PDFHTML

Papers citing "Learning Bayesian Networks that enable full propagation of evidence"

8 / 8 papers shown
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
Sheresh Zahoor
Pietro Liò
G. Dias
Mohammed Hasanuzzaman
297
3
0
28 Jan 2025
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer
  Programming
MEC-IP: Efficient Discovery of Markov Equivalent Classes via Integer Programming
Abdelmonem Elrefaey
Rong Pan
293
0
0
22 Oct 2024
Investigating the validity of structure learning algorithms in
  identifying risk factors for intervention in patients with diabetes
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes
Sheresh Zahoor
Anthony C. Constantinou
Tim M Curtis
Mohammed Hasanuzzaman
CML
295
2
0
21 Mar 2024
Open problems in causal structure learning: A case study of COVID-19 in
  the UK
Open problems in causal structure learning: A case study of COVID-19 in the UKExpert systems with applications (ESWA), 2023
Anthony C. Constantinou
N. K. Kitson
Yang Liu
Kiattikun Chobtham
Arian Hashemzadeh
Praharsh Nanavati
R. Mbuvha
Bruno Petrungaro
CML
235
21
0
05 May 2023
Effective and efficient structure learning with pruning and model
  averaging strategies
Effective and efficient structure learning with pruning and model averaging strategies
Anthony C. Constantinou
Yang Liu
N. K. Kitson
Kiattikun Chobtham
Zhi-gao Guo
346
25
0
01 Dec 2021
A survey of Bayesian Network structure learning
A survey of Bayesian Network structure learningArtificial Intelligence Review (AIR), 2021
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
359
305
0
23 Sep 2021
The impact of prior knowledge on causal structure learning
The impact of prior knowledge on causal structure learningKnowledge and Information Systems (KAIS), 2021
Anthony C. Constantinou
Zhi-gao Guo
N. K. Kitson
CML
525
57
0
31 Jan 2021
Large-scale empirical validation of Bayesian Network structure learning
  algorithms with noisy data
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
Anthony C. Constantinou
Yang Liu
Kiattikun Chobtham
Zhi-gao Guo
N. K. Kitson
CML
235
73
0
18 May 2020
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