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Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation

22 April 2018

Papers citing "Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation"

22 / 22 papers shown

Title
Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology R. Nagarajan Marco Scutari 63 0 0 02 Jan 2025
Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation Marco Scutari 71 2 0 29 Nov 2023
Learning-driven Zero Trust in Distributed Computing Continuum Systems Ilir Murturi Praveen Kumar Donta Víctor Casamayor Pujol Andrea Morichetta Schahram Dustdar AI4CE 48 3 0 29 Nov 2023
Equilibrium in the Computing Continuum through Active Inference Boris Sedlak Víctor Casamayor Pujol Praveen Kumar Donta Schahram Dustdar 72 20 0 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 CML 55 4 0 17 May 2023
Efficient SAGE Estimation via Causal Structure Learning C. Luther Gunnar Konig Moritz Grosse-Wentrup 117 3 0 06 Apr 2023
A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing Baokui Mou BDL 47 1 0 05 Dec 2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning Zhi-gao Guo Anthony C. Constantinou TPM 49 0 0 19 Feb 2022
Ordinal Causal Discovery Yang Ni Bani Mallick CML 75 2 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 0 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