Results 1 to 10 of about 25,555 (257)
Latent Variable Autoencoder [PDF]
IEEE Access, 2019 Learning to discover hidden variables from unlabeled data is an important task. Traditional generative methods model the generation process of the observed variables as well as the hidden variables.
Wenjuan Han, Ge Wang, Kewei Tu
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The use of latent variable models in policy: A road fraught with peril? [PDF]
Bio-based and Applied Economics, 2020 This paper explores the potential usefulness and possible pitfalls of using integrated choice and latent variable models (hybrid choice models) on stated choice data to inform policy.
Danny Campbell, Erlend Dancke Sandorf
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Latent Variable Forests for Latent Variable Score Estimation [PDF]
Educational and Psychological MeasurementWe develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA) models with ordinal and/or numerical response variables.
Classe, Franz, Kern, Christoph
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Nonsparse Learning with Latent Variables [PDF]
Operations Research, 2021 A New Nonsparse Learning Methodology for High-Dimensional Data Analysis Is Coming
Zemin Zheng, Jinchi Lv, Wei Lin 0020
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Multimodal latent variable analysis [PDF]
Signal Processing, 2018 Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variability manifested in the measured data. The first step in our analysis is to find the common source of variability present in all sensor measurements.
Vardan Papyan, Ronen Talmon
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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 ...
Aydin Varol +3 more
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Buildings, 2022 Public landscape efficiency is one of the research hotspots in contemporary landscape performance. The renewal of micro landscape space has positive effects on community vitality and the sustainable development of landscape resources.
Zhe Li +4 more
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Longitudinal Invariance Analysis of the Short Grit Scale in Chinese Young Adults
Frontiers in Psychology, 2020 The current study examined the longitudinal measurement invariance (LMI) of the Short Grit Scale (Grit-S) in a survey sample of Chinese young adults (N = 233, 48.9% male, mean age = 19.36 years, SD = 0.90 years) who completed the Grit-S twice over a 3 ...
Jie Luo +6 more
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Testing and Interpreting Latent Variable Interactions Using the semTools Package
Psych, 2021 Examining interactions among predictors is an important part of a developing research program. Estimating interactions using latent variables provides additional power to detect effects over testing interactions in regression.
Alexander M. Schoemann +1 more
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Latent variable modeling for the microbiome [PDF]
Biostatistics, 2018 SummaryThe human microbiome is a complex ecological system, and describing its structure and function under different environmental conditions is important from both basic scientific and medical perspectives. Viewed through a biostatistical lens, many microbiome analysis goals can be formulated as latent variable modeling problems.
Sankaran, Kris, Holmes, Susan P.
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