Results 31 to 40 of about 669,950 (280)
Jurnal Elemen, 2023 Several types of research showed math anxiety as the learning outcome, but another showed that as the predictor variable. Math anxiety was predicted based on other variables, such as self-regulated learning and self-concept.
Dian Cahyawati +2 more
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Model Based Clustering for Mixed Data: clustMD [PDF]
, 2015 A model based clustering procedure for data of mixed type, clustMD, is developed using a latent variable model. It is proposed that a latent variable, following a mixture of Gaussian distributions, generates the observed data of mixed type.
Gormley, Isobel Claire +1 more
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A constrained latent variable model [PDF]
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 Latent variable models provide valuable compact representations for learning and inference in many computer vision tasks. However, most existing models cannot directly encode prior knowledge about the specific problem at hand. In this paper, we introduce a constrained latent variable model whose generated output inherently accounts for such knowledge ...
Varol Aydin +3 more
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New approaches to cognitive work analysis through latent variable modeling in mining operations
International Journal of Mining Science and Technology, 2019 This paper discusses the utilization of latent variable modeling related to occupational health and safety in the mining industry. Latent variable modeling, which is a statistical model that relates observable and latent variables, could be used to ...
S. Li, Y.A. Sari, M. Kumral
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A new model of wheezing severity in young children using the validated ISAAC wheezing module: A latent variable approach with validation in independent cohorts. [PDF]
PLoS ONE, 2018 BACKGROUND:The International Study of Asthma and Allergies in Children (ISAAC) Wheezing Module is commonly used to characterize pediatric asthma in epidemiological studies, including nearly all airway cohorts participating in the Environmental Influences
Steven M Brunwasser +7 more
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The Poisson-Lognormal Model as a Versatile Framework for the Joint Analysis of Species Abundances
Frontiers in Ecology and Evolution, 2021 Joint Species Distribution Models (JSDM) provide a general multivariate framework to study the joint abundances of all species from a community. JSDM account for both structuring factors (environmental characteristics or gradients, such as habitat type ...
Julien Chiquet +3 more
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Isotone additive latent variable models [PDF]
Statistics and Computing, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sardy, S, Victoria-Feser, MP
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IEEE AccessA contextual anomaly is a subtype of anomaly that, when observed in isolation, may not have the characteristics of an anomaly but becomes one when observed within a given context.
Lovre Mrcela, Zvonko Kostanjcar
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Fitting latent variable mixture models [PDF]
Behaviour Research and Therapy, 2017 Latent variable mixture models (LVMMs) are models for multivariate observed data from a potentially heterogeneous population. The responses on the observed variables are thought to be driven by one or more latent continuous factors (e.g. severity of a disorder) and/or latent categorical variables (e.g., subtypes of a disorder). Decomposing the observed
Gitta H, Lubke, Justin, Luningham
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PLoS ONE, 2014 Patient-reported outcomes (PRO) have gained importance in clinical and epidemiological research and aim at assessing quality of life, anxiety or fatigue for instance.
Alice Guilleux +3 more
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