Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
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DOI: 10.1007/s10994-018-5718-0
Abstract: This paper introduces a novel parameter estimation method for the probability tables of Bayesian network classifiers (BNCs), using hierarchical Dirichlet processes (HDPs). The main result of this paper is to show that improved parameter estimation… read more here.
Keywords: hierarchical dirichlet; estimation; bayesian network; parameter estimation ... See more keywords
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model
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DOI: 10.1093/mnras/stz670
Abstract: We present a novel Bayesian method, referred to as blobby3d, to infer gas kinematics that mitigates the effects of beam smearing for observations using integral field spectroscopy. The method is robust for regularly rotating galaxies… read more here.
Keywords: hierarchical gaussian; using hierarchical; gas; kinematics ... See more keywords
Using hierarchical similarity to examine the genetics of Behçet’s disease
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DOI: 10.1186/s13104-021-05767-6
Abstract: Objective Behçet’s disease (BD) is a multisystem inflammatory disease that affects patients along the historic silk road. Thus far, the pathogenesis of the disease has proved elusive due to the complex genetic interactions of the… read more here.
Keywords: genetics; using hierarchical; disease; beh disease ... See more keywords
Household Goods Recognition Using Hierarchical Multi-object Segmentation
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DOI: 10.18494/sam.2021.3174
Abstract: 1College of Mathematics and Information Engineering, Longyan University, Fujian 364012, China 2Department of Computer Science and Information Engineering, National Ilan University, Ilan County 260, Taiwan 3Department of Electrical and Computer Engineering, Tamkang University, New Taipei… read more here.
Keywords: household goods; using hierarchical; engineering; goods recognition ... See more keywords