Results 21 to 30 of about 25,555 (257)
Multi-Scale Multi-Kernel Gaussian Process Latent Variable Model [PDF]
As an unsupervised Bayesian non-parameter dimension reduction model,the Gaussian Process Latent Variable Model(GPLVM) fails to efficiently utilize semantic label information of data.Moreover,it just assumes that the features of all observed variables are
ZHOU Peichun, WU Lan'an
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Latent Variable Analysis and Signal Separation [PDF]
We assume a second-order source separation model where the observed multivariate time series is a linear mixture of latent, temporally uncorrelated time series with some components pure white noise.
Joni Virta +2 more
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Geoadditive latent variable modelling of count data on multiple sexual partnering in Nigeria [PDF]
The 2005 National HIV/AIDS and Reproductive Health Survey in Nigeria provides evidence that multiple sexual partnering increases the risk of contracting HIV and other sexually transmitted diseases.
Seiler, Christian +2 more
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It is customary to assume that an indicator of a latent variable is driven by the latent variable and some random noise. In contrast, a background indicator is also systematically influenced by variables outside the structural model of interest ...
Burkhard Raunig
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A dynamic latent variable model for source separation [PDF]
We propose a novel latent variable model for learning latent bases for time-varying non-negative data. Our model uses a mixture multinomial as the likelihood function and proposes a Dirichlet distribution with dynamic parameters as a prior, which we call
Ghosh, Prasanta +5 more
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Multiscale Latent Variable Regression
Multiscale wavelet-based representation of data has been shown to be a powerful tool in feature extraction from practical process data. In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of some
Mohamed N. Nounou, Hazem N. Nounou
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INVESTIGATION OF MEASUREMENT PRECISION OF LATENT VARIABLES IN EDUCATION
The objective of the study is to investigate the measurement accuracy of latent variables depending on a number of dichotomous test items and variation range.Methods: Investigation is based on the simulation experiments.Results: The authors make ...
Anatoly A. Maslak Anatoly A. +2 more
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International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
Worldwide human trafficking is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. This article focusses on three questions: 1) How can human trafficking be measured?
Alexandra Rudolph, Friedrich Schneider
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Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings [PDF]
This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial ...
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Due to the complex features of metabolomics data, the development of a unified platform, which covers preprocessing steps to data analysis, has been in high demand over the last few decades.
Jaehwi Kim, Jaesik Jeong
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