Approximate Bayes model selection procedures for Gibbs-Markov random fields

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(95)00071-2 ◽

1996 ◽

Vol 51 (1) ◽

pp. 75-97 ◽

Author(s):

Lynne Seymour ◽

Chuanshu Ji

Keyword(s):

Model Selection ◽

Random Fields ◽

Markov Random Fields ◽

Selection Procedures ◽

Bayes Model ◽

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Information-theoretic bounds on model selection for Gaussian Markov random fields

2010 IEEE International Symposium on Information Theory ◽

10.1109/isit.2010.5513573 ◽

2010 ◽

Author(s):

Wei Wang ◽

Martin J. Wainwright ◽

Kannan Ramchandran

Keyword(s):

Model Selection ◽

Random Fields ◽

Markov Random Fields ◽

Information Theoretic ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

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A consistent model selection procedure for Markov random fields based on penalized pseudolikelihood

10.1214/aoap/1034968138 ◽

1996 ◽

Vol 6 (2) ◽

pp. 423-443 ◽

Author(s):

Chuanshu Ji ◽

Lynne Seymour

Keyword(s):

Model Selection ◽

Random Fields ◽

Markov Random Fields ◽

Selection Procedure ◽

Model Selection Procedure ◽

Markov Random ◽

Consistent Model

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Model Selection in Markov Random Fields for High Spatial Resolution Hyperspectral Data

Handbook of Applied Spatial Analysis ◽

10.1007/978-3-642-03647-7_26 ◽

2009 ◽

pp. 545-563

Author(s):

Francesco Lagona

Keyword(s):

Model Selection ◽

Spatial Resolution ◽

Random Fields ◽

Markov Random Fields ◽

High Spatial Resolution ◽

Hyperspectral Data ◽

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Model selection for discrete Markov random fields on graphs

10.11606/t.45.2018.tde-02022018-151123 ◽

2018 ◽

Author(s):

Iara Moreira Frondana

Keyword(s):

Model Selection ◽

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

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Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach

10.1109/bigdata52589.2021.9672077 ◽

2021 ◽

Author(s):

Hamed Jalali ◽

Martin Pawelczyk ◽

Gjergji Kasneci

Keyword(s):

Model Selection ◽

Gaussian Processes ◽

Random Fields ◽

Markov Random Fields ◽

Local Approximation ◽

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An Effective Markov Random Fields based Estimation of Distribution Algorithm and Scheduling of Flexible Job Shop Problem

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.796 ◽

2014 ◽

Vol 134 (6) ◽

pp. 796-805 ◽

Author(s):

Xinchang Hao ◽

Jing Tian ◽

Hao Wen Lin ◽

Tomohiro Murata

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Job Shop ◽

Estimation Of Distribution Algorithm ◽

Flexible Job Shop ◽

Markov Random ◽

Estimation Of Distribution ◽

Flexible Job Shop Problem

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Sampling from Gaussian Markov random fields conditioned on linear constraints

ANZIAM Journal ◽

10.21914/anziamj.v48i0.131 ◽

2008 ◽

Vol 48 ◽

pp. 1041 ◽

Author(s):

Daniel Peter Simpson ◽

Ian W. Turner ◽

A. N. Pettitt

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Linear Constraints ◽

Gaussian Markov Random Fields ◽

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Texture modelling in mammograms using Markov random fields

6th International Conference on Image Processing and its Applications ◽

10.1049/cp:19970901 ◽

1997 ◽

Author(s):

I.G. Mackenzie

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Texture Modelling

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Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields

Metrika ◽

10.1007/s00184-009-0295-7 ◽

2009 ◽

Vol 74 (2) ◽

pp. 167-183 ◽

Author(s):

Victor De Oliveira ◽

Marco A. R. Ferreira

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Random Fields ◽

Markov Random Fields ◽

Likelihood Estimation ◽

Restricted Maximum Likelihood ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Restricted Maximum Likelihood Estimation

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Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields

2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) ◽

10.1109/icin51074.2021.9385544 ◽

2021 ◽

Author(s):

Nicholas C. Landolfi ◽

Daniel C. O'Neill ◽

Sanjay Lall

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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