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Graphical Modelling and Hierarchical Models
2021In many contexts, straightforward exchangeability can be a useful simplifying assumption for specifying the joint probability distribution of random variables. But sometimes an individual will require more complex structures of statistical dependence between random quantities to properly represent their beliefs.
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2013
This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
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This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
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Multi-language evaluation of exact solvers in graphical model discrete optimization
Constraints, 2016B. Hurley+6 more
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The stitched puppet: A graphical model of 3D human shape and pose
Computer Vision and Pattern Recognition, 2015S. Zuffi, Michael J. Black
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An Introduction to Probabilistic Graphical Models
2002In this chapter we will introduce two probabilistic graphical models -Bayesian networks and Gaussian networks- that will be used to carryout factorization of the probability distribution of the selected individuals in the Estimation of Distribution Algorithms based approaches.
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Superpixel-Based Graphical Model for Remote Sensing Image Mapping
IEEE Transactions on Geoscience and Remote Sensing, 2015Guangyun Zhang, X. Jia, Jiankun Hu
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Teaching ‘Instant Experience’ with Graphical Model Validation Techniques
, 2014C. Ekstrøm
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