Partial least
Partial Least Square Model in Community Education Management
... developing. The objective of this study is to examine local resources that the Community Learning Center (Pusat Kegiatan Belajar Masyarakat or PKBM) can benefit from; this is to improve the competitiveness of such ...
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Partial least squares based gene expression analysis in renal failure
... detect dysregulated genes. This statistical procedure ignored unaccounted array specific factors, including various biological, environmental factors. Previous studies [7,8] have suggested that partial ...
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Analysis of TCM Data Based on Partial Least Squares within Random Forest
... Abstract. Partial Least Square (PLS) seems hard to adapt to the characteristics of the nonlinear data due to its own linear feature. However, Random Forest Algorithm(RFA), which is assembled by several ...
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A Partial Least Squares based algorithm for parsimonious variable selection
... using Partial Least Squares, where the focus is to obtain a hard, and at the same time stable, selection of ...at least as good as three alternative methods, Forward, Lasso and ST-PLS, on the present ...
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Probabilistic partial least squares model: Identifiability, estimation and application
... With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets measured for the same persons. The ...
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Modeling individual HRTF tensor using high order partial least squares
... high-order partial least squares (HOPLS), aiming to seek a joint subspace approximation for both the selected parameters and the individual core ...the partial least squares regression (PLSR) ...
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Partial Least Square Path analysis of knowledge, Attitude and Practice Regarding Dengue
... Introduction: Knowledge, attitude and practices regarding dengue are latent variables which are substantiated through manifest variables. The manifest variables that form the indicative construct of knowledge, attitude ...
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Analysis of partial least squares algorithm based on SBM DEA
... The T 2 ellipse assisted analysis method of the partial least squares (PLS) is able to recognize the noise, however, it fails to analyze the noise in the multidimensional space. In the paper, we propose the ...
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... uses partial least squares support vector regression system theory to optimize the relevant economic indicators of the impact of tax revenues, evaluates a variety of factors among the tax revenue and seeks ...
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Person re identification using partial least squares appearance modelling
... a Partial Least Squares Regression model to predict the skeleton of a person, allowing us to prioritise features from a person’s limbs rather than from the ...
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Decoupling Multivariable Processes using Partial Least Squares for Decentralized Control
... Partial Least Squares (PLS) finds latent variables that are associated with the maximum variation in process data and provides diagonal pairings of latent variables as strong as ...
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Quantitative Structure Property Relationships Study of Mobility of Some Benzoaromatic Carboxylate Derivatives by Partial Least Squares and Least-Square Support Vector Machine
... A quantitative structure-property relationship (QSPR) study is suggested for the prediction of mobilities (m) of benzoaromatic carboxylates. Ab initio theory was used to calculate some quantum chemical descriptors ...
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TRUST IN FINANCIAL MOBILE APPS – A PARTIAL LEAST SQUARE REGRESSION APPROACH
... After demonetisation, Government of India and private companies are trying to encourage cashless transactions through financial mobile apps. The major financial mobile apps include BHIM promoted by National Payments ...
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Speech Emotion Recognition with MPCA and Kernel Partial Least Squares Regression
... Abstract—Speech signal is one of the major means for communication which carries not only semantic, but personal information , such as genders and emotions. The researches about speech emotion have become more and more ...
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Multi-label Classification Using Hypergraph Orthonormalized Partial Least Squares
... and Partial Least Squares (PLS) [9, 25] in this paper, we concentrate on a variant of PLS, named Orthonormalized Partial Least Squares (OPLS) [10], which imposes the orthogonal constraints ...
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M-Government Adoption Factors in the UAE: a Partial Least Squares Approach
... This study investigates the factors that influence the intention of citizens of the United Arab Emirates (UAE) to use a mobile government (mGov) platform. The UAE is one of the leading countries that offer this service ...
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Temperature and Humidity Forecast via Univariate Partial Least Square and Principal Component Analysis
... (Partial Least Square) is an efficient statistical method for predicting a small data sample with a lot of variables that might be correlated with each ...
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Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach
... Partial least squares-based path modeling with latent variables is a methodology that allows to estimate complex cause-effect relationships using empirical ...segment-specific partial least ...
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Partial Least Squares in Constructing Candidates Model Averaging Muhammad Arna Ramadhan, Bagus Sartono, Anang Kurnia
... proposed partial least squares model averaging (PLSMA) as an approach to construct candidate models, while partial least squares (PLS) method was applied during that process to reduce and ...
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Model Behavior Development of User Transportation With Partial Least Square (PLS) In Semarang Indonesia
... Testing models of behavior analysis performed with the approach of Structural Equation Model (SEM) is by using software Partial Least Square (PLS). PLS is a structural equation model (SEM) based components ...
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