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Bayesian Network Constraint-Based Structure Learning Algorithms:
  Parallel and Optimised Implementations in the bnlearn R Package

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package

30 June 2014
M. Scutari
    CML
ArXivPDFHTML

Papers citing "Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package"

12 / 12 papers shown
Title
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment
  Effect Estimation
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
Chris C. Emezue
Alexandre Drouin
T. Deleu
Stefan Bauer
Yoshua Bengio
CML
22
2
0
11 Jul 2023
A Survey on Causal Discovery: Theory and Practice
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
CML
21
37
0
17 May 2023
Fast Parallel Bayesian Network Structure Learning
Fast Parallel Bayesian Network Structure Learning
Jiantong Jiang
Zeyi Wen
Ajmal Saeed Mian
22
6
0
08 Dec 2022
Improving the Efficiency of the PC Algorithm by Using Model-Based
  Conditional Independence Tests
Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests
Erica Cai
A. Mcgregor
David D. Jensen
CML
27
1
0
12 Nov 2022
BigBraveBN: algorithm of structural learning for bayesian networks with
  a large number of nodes
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes
Y. Kaminsky
I. Deeva
6
4
0
22 Aug 2022
Learning Bayesian Networks in the Presence of Structural Side
  Information
Learning Bayesian Networks in the Presence of Structural Side Information
Ehsan Mokhtarian
S. Akbari
Fatemeh Jamshidi
Jalal Etesami
Negar Kiyavash
21
16
0
20 Dec 2021
WiseR: An end-to-end structure learning and deployment framework for
  causal graphical models
WiseR: An end-to-end structure learning and deployment framework for causal graphical models
Shubham Maheshwari
Khushbu Pahwa
Tavpritesh Sethi
CML
14
1
0
16 Aug 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
20
296
0
03 Mar 2021
Learning Bayesian Networks from Big Data with Greedy Search:
  Computational Complexity and Efficient Implementation
Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation
M. Scutari
C. Vitolo
A. Tucker
20
24
0
22 Apr 2018
A fast PC algorithm for high dimensional causal discovery with
  multi-core PCs
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
T. Le
Tao Hoang
Jiuyong Li
Lin Liu
Huawen Liu
24
139
0
09 Feb 2015
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
216
626
0
20 Feb 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
1