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Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package
30 June 2014
M. Scutari
CML
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Papers citing
"Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package"
27 / 27 papers shown
Title
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Explaining and visualizing black-box models through counterfactual paths
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Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
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Generating Bayesian Network Models from Data Using Tsetlin Machines
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A Survey on Causal Discovery: Theory and Practice
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17 May 2023
Fast Parallel Bayesian Network Structure Learning
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08 Dec 2022
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
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BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes
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Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis
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Navaporn Surasvadi
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Learning Bayesian Networks in the Presence of Structural Side Information
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63
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WiseR: An end-to-end structure learning and deployment framework for causal graphical models
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Khushbu Pahwa
Tavpritesh Sethi
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83
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Partitioned hybrid learning of Bayesian network structures
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68
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D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
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147
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03 Mar 2021
Scalable Causal Domain Adaptation
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O. Pandey
Pooyan Jamshidi
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27 Feb 2021
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
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Marco Valtorta
Pooyan Jamshidi
45
10
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29 May 2020
The R Package stagedtrees for Structural Learning of Stratified Staged Trees
Federico Carli
Manuele Leonelli
Eva Riccomagno
Gherardo Varando
42
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14 Apr 2020
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms
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Marco Valtorta
Pooyan Jamshidi
61
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Learning big Gaussian Bayesian networks: partition, estimation, and fusion
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Qing Zhou
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24 Apr 2019
Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation
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EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
Chao Zhao
Jingchi Jiang
Y. Guan
58
39
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20 Sep 2017
Learning Large-Scale Bayesian Networks with the sparsebn Package
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J. Gu
Qing Zhou
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69
56
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11 Mar 2017
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data
Luping Zhou
Lei Wang
Lingqiao Liu
P. Ogunbona
Dinggang Shen
64
29
0
23 Jun 2015
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
T. Le
Tao Hoang
Jiuyong Li
Lin Liu
Huawen Liu
144
146
0
09 Feb 2015
Penalized Estimation of Directed Acyclic Graphs From Discrete Data
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Fei Fu
Qing Zhou
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92
42
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10 Mar 2014
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam
Qing Zhou
CML
132
107
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04 Jan 2014
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