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1804.08137
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Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation
22 April 2018
M. Scutari
C. Vitolo
A. Tucker
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Papers citing
"Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation"
22 / 22 papers shown
Title
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Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
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Learning-driven Zero Trust in Distributed Computing Continuum Systems
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Praveen Kumar Donta
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Andrea Morichetta
Schahram Dustdar
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29 Nov 2023
Equilibrium in the Computing Continuum through Active Inference
Boris Sedlak
Víctor Casamayor Pujol
Praveen Kumar Donta
Schahram Dustdar
72
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28 Nov 2023
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach
Alessio Zanga
Alice Bernasconi
Peter J.F. Lucas
H. Pijnenborg
C. Reijnen
M. Scutari
Fabio Stella
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55
4
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17 May 2023
Efficient SAGE Estimation via Causal Structure Learning
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Gunnar Konig
Moritz Grosse-Wentrup
117
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06 Apr 2023
A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing
Baokui Mou
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47
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05 Dec 2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
Zhi-gao Guo
Anthony C. Constantinou
TPM
49
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19 Feb 2022
Ordinal Causal Discovery
Yang Ni
Bani Mallick
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75
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0
19 Jan 2022
Learning Bayesian Networks in the Presence of Structural Side Information
Ehsan Mokhtarian
S. Akbari
Fatemeh Jamshidi
Jalal Etesami
Negar Kiyavash
67
16
0
20 Dec 2021
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning
Kui Yu
Zhaolong Ling
Lin Liu
Hao Wang
Jiuyong Li
91
6
0
20 Dec 2021
A survey of Bayesian Network structure learning
N. K. Kitson
Anthony C. Constantinou
Zhi-gao Guo
Yang Liu
Kiattikun Chobtham
CML
106
198
0
23 Sep 2021
Transport-based Counterfactual Models
Lucas de Lara
Alberto González Sanz
Nicholas M. Asher
Laurent Risser
Jean-Michel Loubes
52
31
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30 Aug 2021
A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional Data
Nazanin Shajoonnezhad
Amin Nikanjam
55
3
0
21 Aug 2021
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms
Felix L. Rios
G. Moffa
Jack Kuipers
CML
98
12
0
08 Jul 2021
Bayesian Structural Learning for an Improved Diagnosis of Cyber-Physical Systems
Nicolas Olivain
Philipp Tiefenbacher
J. Kohl
74
2
0
02 Apr 2021
The impact of prior knowledge on causal structure learning
Anthony C. Constantinou
Zhi-gao Guo
N. K. Kitson
CML
102
33
0
31 Jan 2021
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks
Shusuke Kobayashi
S. Shirayama
66
2
0
18 Aug 2020
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Catarina Moreira
Yu-Liang Chou
M. Velmurugan
Chun Ouyang
Renuka Sindhgatta
P. Bruza
114
58
0
21 Jul 2020
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
73
63
0
18 May 2020
Learning Bayesian Networks that enable full propagation of evidence
Anthony C. Constantinou
92
17
0
09 Apr 2020
Bayesian Network Models for Incomplete and Dynamic Data
M. Scutari
SyDa
73
0
0
15 Jun 2019
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