Results 11 to 20 of about 543,991 (343)
Latent class model with application to speaker diarization [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2019 In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny’s variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations.
Liang He +5 more
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The Role of Trust in Explaining Food Choice: Combining Choice Experiment and Attribute Best–Worst Scaling [PDF]
Foods, 2020 This paper presents empirical findings from a combination of two elicitation techniques—discrete choice experiment (DCE) and best−worst scaling (BWS)—to provide information about the role of consumers’ trust in food choice ...
Ching-Hua Yeh +2 more
doaj +3 more sources
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
openaire +3 more sources
Neighborhoods and adolescent polysubstance use in Jamaica [PDF]
PeerJ, 2023 Background The purpose of this study was to identify latent classes of polysubstance use among adolescents in Jamaica and the role of neighborhood factors in the association with polysubstance use class membership.
Amrita Gill +8 more
doaj +2 more sources
Ridesourcing mode choice: A latent class choice model for UberX in Chile
Transportation Research Interdisciplinary Perspectives, 2022 As shared mobility expands, ridesourcing has become its most popular manifestation. However, users’ mode choice has not yet been sufficiently explored. Thus, this study aims to model ridesourcing mode choice across different latent classes to ascertain ...
Gustavo García-Melero +3 more
doaj +1 more source
The Q-Matrix Anchored Mixture Rasch Model
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
doaj +1 more source
Frontiers in Psychology, 2020 The main aim of the present study was to investigate the presence of Differential Item Functioning (DIF) using a latent class (LC) analysis approach. Particularly, we examined potential sources of DIF in relation to gender.
Ioannis Tsaousis +3 more
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The Latent Class Model as a Measurement Model for Situational Judgment Tests
Psychologica Belgica, 2011 In a situational judgment test, it is often debatable what constitutes a correct answer to a situation. There is currently a multitude of scoring procedures. Establishing a measurement model can guide the selection of a scoring rule.
Frank Rijmen
doaj +1 more source
Effects of switching between production systems in dairy farming
Bio-based and Applied Economics, 2015 The increasing intensification of dairy farming in Europe has sparked an interest in studying the economic consequences of this process. However, empirically classifying farms as extensive or intensive is not a straightforward task.
Antonio Alvarez, Carlos Arias
doaj +1 more source
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.
core +4 more sources