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VARIABEL LATEN SEBAGAI MODERATOR DAN MEDIATOR DALAM HUBUNGAN KAUSAL

E-Jurnal Matematika, 2013
Latent variables are variables that can not be measured directly. In analysis of causal relationship involving three latent variables, one latent variable can be a moderator or mediator variables. Goodness of Fit moderation and mediation model of latent
I KOMANG GEDE ANTARA, I PUTU EKA NILA KENCANA, KETUT JAYANEGARA   +2 more
doaj   +1 more source

Factorisation-Based Image Labelling

Frontiers in Neuroscience, 2022
Segmentation of brain magnetic resonance images (MRI) into anatomical regions is a useful task in neuroimaging. Manual annotation is time consuming and expensive, so having a fully automated and general purpose brain segmentation algorithm is highly ...
Yu Yan, Yu Yan, Yaël Balbastre, Yaël Balbastre, Mikael Brudfors, Mikael Brudfors, John Ashburner   +6 more
doaj   +1 more source

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, Azizpour, Hossein, Carlsson, Stefan, Parizi, Sobhan Naderi   +3 more
core   +1 more source

IDENTIFIABILITY OF STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES

Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2019
In this paper the problem of identifiability of structural equation models with latent variables is considered. The conditions of the almost everywhere local identifiability for such models are obtained.
Sergei Stafeev
doaj   +1 more source

Generating In-Between Images Through Learned Latent Space Representation Using Variational Autoencoders

IEEE Access, 2020
Image interpolation is often implemented using one of two methods: optical flow or convolutional neural networks. These methods are typically pixel-based; they do not work well on objects between images far apart.
Paulino Cristovao, Hidemoto Nakada, Yusuke Tanimura, Hideki Asoh   +3 more
doaj   +1 more source

The impact of undergraduate students’ mathematics anxiety and self-concept on their self-regulated learning and academic achievement

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, Nita Delima, Muji Gunarto   +2 more
doaj   +1 more source

Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS

IEEE Access, 2020
The complicated characteristics of wastewater treatment plants (WWTPs) significantly hinder the monitoring of industrial processes, and thus much attention has been paid to process modeling and prediction.
Hongbin Liu, Hao Zhang, Yuchen Zhang, Fengshan Zhang, Mingzhi Huang   +4 more
doaj   +1 more source

Auxiliary Guided Autoregressive Variational Autoencoders [PDF]

, 2018
Generative modeling of high-dimensional data is a key problem in machine learning. Successful approaches include latent variable models and autoregressive models. The complementary strengths of these approaches, to model global and local image statistics
Lucas, Thomas, Verbeek, Jakob
core   +4 more sources

Two-Stage Latent Dynamics Modeling and Filtering for Characterizing Individual Walking and Running Patterns with Smartphone Sensors

Sensors, 2019
Recently, data from built-in sensors in smartphones have been readily available, and analyzing data for various types of health information from smartphone users has become a popular health care application area. Among relevant issues in the area, one of
Jaein Kim, Juwon Lee, Woongjin Jang, Seri Lee, Hongjoong Kim, Jooyoung Park   +5 more
doaj   +1 more source

Development of lifetime comorbidity in the world health organization world mental health surveys [PDF]

, 2011
CONTEXT: Although numerous studies have examined the role of latent variables in the structure of comorbidity among mental disorders, none has examined their role in the development of comorbidity.
Aguilar-Gaxiola, Sergio, Alonso, Jordi, Andrade, Laura, Benjet, Corina, de Girolamo, Giovanni, de Graaf, Ron, Demyttenaere, Koen, Fayyad, John, Green, Jennifer Greif, Haro, Josep Maria, Hu, Chi Yi, Karam, Aimee, Kessler, Ronald C., Lee, Sing, Lepine, Jean-Pierre, Matchsinger, Herbert, McLaughlin, Katie A., Mihaescu-Pintia, Constanta, Ormel, Johan, Petukhova, Maria, Posada-Villa, Jose, Russo, Leo J., Sagar, Rajesh, Stein, Dan J., Uestuen, T. Bedirhan, Ustun, T.B., Zaslavsky, Alan M.   +26 more
core   +5 more sources