Streaming feature-based causal structure learning algorithm with symmetrical uncertainty

Information Sciences ◽

10.1016/j.ins.2018.04.076 ◽

2018 ◽

Vol 467 ◽

pp. 708-724 ◽

Author(s):

Jing Yang ◽

Xiaoxue Guo ◽

Ning An ◽

Aiguo Wang ◽

Kui Yu

Keyword(s):

Structure Learning ◽

Learning Algorithm ◽

Causal Structure ◽

Symmetrical Uncertainty ◽

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Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model

Applied Artificial Intelligence ◽

10.1080/08839514.2021.2023390 ◽

2022 ◽

pp. 1-40

Author(s):

Jing Yang ◽

Liufeng Jiang ◽

Kai Xie ◽

Qiqi Chen ◽

Aiguo Wang

Keyword(s):

Additive Noise ◽

Structure Learning ◽

Learning Algorithm ◽

Causal Structure ◽

Rank Correlation ◽

Noise Model ◽

Partial Rank Correlation

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Causal Structure Learning Algorithm Based on Streaming Features

2017 IEEE International Conference on Big Knowledge (ICBK) ◽

10.1109/icbk.2017.16 ◽

2017 ◽

Author(s):

Xiaoxue Guo ◽

Jing Yang

Keyword(s):

Structure Learning ◽

Learning Algorithm ◽

Causal Structure

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An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data

The Journal of Supercomputing ◽

10.1007/s11227-018-2557-5 ◽

2018 ◽

Vol 76 (5) ◽

pp. 3355-3363

Author(s):

Jing Yang ◽

Na Li ◽

Ning An ◽

Yu Chen ◽

Gil Alterovitz

Keyword(s):

Structure Learning ◽

Learning Algorithm ◽

Causal Structure ◽

Continuous Data

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Causal imprinting in causal structure learning

Cognitive Psychology ◽

10.1016/j.cogpsych.2012.07.001 ◽

2012 ◽

Vol 65 (3) ◽

pp. 381-413 ◽

Author(s):

Eric G. Taylor ◽

Woo-kyoung Ahn

Keyword(s):

Structure Learning ◽

Causal Structure

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A novel Bayesian Belief Network structure learning algorithm based on bio-inspired monkey search meta heuristic

2014 Seventh International Conference on Contemporary Computing (IC3) ◽

10.1109/ic3.2014.6897163 ◽

2014 ◽

Author(s):

Sangeeta Mittal ◽

Krishna Gopal ◽

S.L. Maskara

Keyword(s):

Network Structure ◽

Structure Learning ◽

Learning Algorithm ◽

Bayesian Belief Network ◽

Belief Network ◽

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An empirical feature-based learning algorithm producing sparse approximations

Applied and Computational Harmonic Analysis ◽

10.1016/j.acha.2011.07.005 ◽

2012 ◽

Vol 32 (3) ◽

pp. 389-400 ◽

Author(s):

Xin Guo ◽

Ding-Xuan Zhou

Keyword(s):

Learning Algorithm ◽

Sparse Approximations ◽

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Causal structure learning over time: Observations and interventions

Cognitive Psychology ◽

10.1016/j.cogpsych.2011.10.003 ◽

2012 ◽

Vol 64 (1-2) ◽

pp. 93-125 ◽

Author(s):

Benjamin M. Rottman ◽

Frank C. Keil

Keyword(s):

Structure Learning ◽

Causal Structure ◽

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A Bayesian Network Structure Learning Algorithm Based on the Combination of PSO and Sub-graph Decomposition

Proceedings of the 2016 International Conference on Education, Management and Computer Science ◽

10.2991/icemc-16.2016.194 ◽

2016 ◽

Author(s):

Shaorong Feng

Keyword(s):

Bayesian Network ◽

Network Structure ◽

Structure Learning ◽

Learning Algorithm ◽

Graph Decomposition ◽

Bayesian Network Structure ◽

Bayesian Network Structure Learning

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A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-20847-8_6 ◽

2011 ◽

pp. 63-74

Author(s):

Jing Yang ◽

Lian Li

Keyword(s):

Bayesian Network ◽

Network Structure ◽

Partial Correlation ◽

Structure Learning ◽

Learning Algorithm ◽

Bayesian Network Structure ◽

Bayesian Network Structure Learning

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Prior-Knowledge-Driven Local Causal Structure Learning and Its Application on Causal Discovery Between Type 2 Diabetes and Bone Mineral Density

IEEE Access ◽

10.1109/access.2020.2994936 ◽

2020 ◽

Vol 8 ◽

pp. 108798-108810

Author(s):

Wei Wang ◽

Gangqiang Hu ◽

Bo Yuan ◽

Shandong Ye ◽

Chao Chen ◽

...

Keyword(s):

Bone Mineral Density ◽

Type 2 Diabetes ◽

Prior Knowledge ◽

Bone Mineral ◽

Structure Learning ◽

Causal Structure ◽

Causal Discovery ◽

Mineral Density

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