Complexity of concept classes induced by discrete Markov networks and Bayesian networks

Pattern Recognition ◽

10.1016/j.patcog.2018.04.026 ◽

2018 ◽

Vol 82 ◽

pp. 31-37 ◽

Author(s):

Benchong Li ◽

Youlong Yang

Keyword(s):

Bayesian Networks ◽

Markov Networks ◽

Concept Classes

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Learning Bayesian networks by learning decomposable Markov networks first

Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411) ◽

10.1109/ccece.1999.804974 ◽

2003 ◽

Author(s):

Y. Huang ◽

Y. Xiang

Keyword(s):

Bayesian Networks ◽

Markov Networks

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Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/978-3-540-39592-8_77 ◽

2003 ◽

pp. 544-553

Author(s):

C. J. Butz ◽

H. Geng

Keyword(s):

Bayesian Networks ◽

Markov Networks ◽

Multiply Sectioned Bayesian Networks

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Inner Product Space and Concept Classes Induced by Bayesian Networks

Acta Applicandae Mathematicae ◽

10.1007/s10440-008-9301-8 ◽

2008 ◽

Vol 106 (3) ◽

pp. 337-348 ◽

Author(s):

Youlong Yang ◽

Yan Wu

Keyword(s):

Bayesian Networks ◽

Product Space ◽

Inner Product Space ◽

Inner Product ◽

Concept Classes

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On the properties of concept classes induced by multivalued Bayesian networks

Information Sciences ◽

10.1016/j.ins.2011.08.031 ◽

2012 ◽

Vol 184 (1) ◽

pp. 155-165 ◽

Author(s):

Youlong Yang ◽

Yan Wu

Keyword(s):

Bayesian Networks ◽

Concept Classes

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Investigating Nonlinearities With Bayesian Networks

PsycEXTRA Dataset ◽

10.1037/e340982004-001 ◽

2003 ◽

Author(s):

Petri Nokelainen

Keyword(s):

Bayesian Networks

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ON THE UNIVERSALITY OF BAYESIAN NETWORKS IN THE CONTEXT OF DATA INDEPENDENCE

Философия науки ◽

10.15372/ps20170404 ◽

2017 ◽

Keyword(s):

Bayesian Networks ◽

Data Independence

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A complex mechanical system importance calculation method based on discrete-time Bayesian networks

Recent Developments on Reliability, Maintenance and Safety ◽

10.2495/qr2mse140401 ◽

2015 ◽

Author(s):

Y. K. Gu

Keyword(s):

Bayesian Networks ◽

Mechanical System ◽

Discrete Time ◽

Calculation Method ◽

Complex Mechanical System

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Faculty Opinions recommendation of A Bayesian networks approach for predicting protein-protein interactions from genomic data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1016965.201724 ◽

2004 ◽

Author(s):

Rolf Apweiler

Keyword(s):

Bayesian Networks ◽

Protein Interactions ◽

Genomic Data ◽

Protein Protein Interactions

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Faculty Opinions recommendation of Use of transcriptomic data to inform biophysical models via Bayesian networks.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.738632599.793578292 ◽

2020 ◽

Author(s):

Bertrand Muller

Keyword(s):

Bayesian Networks ◽

Transcriptomic Data ◽

Biophysical Models

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Bayesian Networks Based Reliability Analysis of Phased-Mission Systems

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2008.01814 ◽

2009 ◽

Vol 31 (10) ◽

pp. 1814-1825 ◽

Author(s):

Dong LIU ◽

Chun-Yuan ZHANG ◽

Wei-Yan XING ◽

Rui LI

Keyword(s):

Bayesian Networks ◽

Reliability Analysis

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