Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes
Sign Up to like & getrecommendations! Published in 2018 at "Machine Learning"
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
Analyzing readiness for interprofessional education among health program students using hierarchical clustering
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Interprofessional Care"
DOI: 10.1080/13561820.2025.2452973
Abstract: ABSTRACT This study employs a clustering approach to assess the readiness for interprofessional education (IPE) among students enrolled in health-related study programs in Albania. Among a sample of 1470 students, complete data were available for… read more here.
Keywords: using hierarchical; readiness interprofessional; interprofessional education; hierarchical clustering ... See more keywords
Statistical Modeling of Within-Laboratory Precision Using a Hierarchical Bayesian Approach.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of AOAC International"
DOI: 10.1093/jaoacint/qsae069
Abstract: BACKGROUND Reproducibility has been well-studied in the field of food analysis; the relative standard deviation is said to follow the Horwitz curve with certain exceptions. However, little systematic research has been done on predicting repeatability… read more here.
Keywords: laboratory precision; using hierarchical; hierarchical bayesian; precision ... See more keywords
The SAMI Galaxy Survey: Bayesian inference for gas disc kinematics using a hierarchical Gaussian mixture model
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
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
Improving Fuel Consumption Prediction for Marine Diesel Engines Using Hierarchical Neural Networks and Pulsating Exhaust Models
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DOI: 10.3390/en18010017
Abstract: Predicting end-of-process variables in internal combustion engines, such as brake-specific fuel consumption or pollutant emissions, is crucial for engine design decisions. However, errors in common multi-layer-perceptron-based artificial neural network models often match the magnitude of… read more here.
Keywords: fuel; using hierarchical; fuel consumption; engine ... See more keywords