Results 21 to 30 of about 548,673 (345)
Latent Class-Conditional Noise Model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achieved theoretically-grounded performance under the Class-Conditional Noise model (CCN).
Jiangchao Yao +4 more
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Analysis of heterogeneous growth changes in longitudinal height of children
Journal of Health, Population and Nutrition, 2023 Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time.
Senahara Korsa Wake +2 more
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Automated vehicle collisions in California: Applying Bayesian latent class model
IATSS Research, 2020 The emerging technology of automated vehicles (AV) has been rapidly advancing and is accompanied by various positive and negative potentials. The new technology is expected to affect costs mainly by reducing the number of collisions and travel time, as ...
Subasish Das +2 more
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The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
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PLoS ONE, 2021 This article investigates the technical efficiency in German higher education while accounting for possible heterogeneity in the production technology.
Denitsa Angelova +3 more
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Mixture Rasch Model with Main and Interaction Effects of Covariates on Latent Class Membership
International Journal of Assessment Tools in Education, 2019 Covariateshave been used in mixture IRT models to help explain why examinees are classedinto different latent classes. Previous research has considered manifestvariables as covariates in a mixture Rasch analysis for prediction of groupmembership.
Tugba Karadavut +2 more
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Nursing Open, 2022 Aim The aim of this study was to identify unobserved subgroups of Chinese parents’ caregiving ability for children with haematological malignancies and examine the associations of the latent class membership with individual characteristics.
Jingting Wang +10 more
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International Journal of Contemporary Educational Research, 2023 This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the ...
Esra Sozer-Boz, Nilüfer Kahraman
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Journal of Transport and Land Use, 2023 We propose a method to estimate mode choice models, where preference parameters are sensitive to the spatial context of the trip origin, challenging traditional assumptions of spatial homogeneity in the relationship between travel modes and the built ...
Jaime Pablo Orrego-Oñate +2 more
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Spotlight the Negatives: A Generalized Discriminative Latent Model [PDF]
, 2015 Discriminative latent variable models (LVM) are frequently applied to various visual recognition tasks. In these systems the latent (hidden) variables provide a formalism for modeling structured variation of visual features.
Arefiyan, Mostafa +3 more
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