نتایج جستجو برای: partial least squares

تعداد نتایج: 605324  

2011
A. K. M. Najmul Islam

E-learning systems such as the learning management systems are widely used in higher education. However, much of the research on e-learning systems focuses on the technology and is limited to the adoption and utilization e-learning systems. In order to develop the potential advantages of e-learning systems, research that addresses the outcomes of the adoption and use of e-learning system is nee...

Journal: :IJKM 2007
Kevin Laframboise Anne-Marie Croteau Anne Beaudry Mantas Manovas

This article reports on a study that investigates the knowledge transfer between an information systems/ technology (IS/IT) department and non-IT departments during IT projects. More specifically, we look into the link between the knowledge management capabilities of the IT department and the effectiveness and efficiency of the knowledge transfer to a client department. Knowledge management (KM...

Journal: :Remote Sensing 2014
Xinchuan Li Youjing Zhang Yansong Bao Juhua Luo Xiuliang Jin Xingang Xu Xiaoyu Song Guijun Yang

The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the hyperspectral reflectance of winter wheat was selected to optimize the selection of spectral features and to evaluate their performance in modeling LAI at various growth stages during 2008 and 2009. We extracted hyperspectral features using differe...

Journal: :Inf. Res. 2014
Christine Nya-Ling Tan T. Ramayah

Introduction. This research addresses a primary issue that involves motivating academics to share knowledge. Adapting the theory of reasoned action, this study examines the role of motivation that consists of intrinsic motivators (commitment; enjoyment in helping others) and extrinsic motivators (reputation; organizational rewards) to determine and explain the behaviour of Malaysian academics i...

2009
Caroline Bernard-Michel Sylvain Douté Mathieu Fauvel Laurent Gardes Stéphane Girard

In this paper, the estimation of physical properties from hyperspectral data with support vectors machines is addressed. Several kernel functions are used, from classical to advanced ones. The results are compared with Gaussian Regularized Sliced Inversion Regression and Partial Least Squares, both in terms of accuracy and complexity. Experiments on simulated data show that SVM produce highly a...

Journal: :Educational Technology & Society 2013
Vasileios Terzis Christos N. Moridis Anastasios A. Economides Genaro Rebolledo Mendez

The user’s acceptance of Computer Based Assessment (CBA) Systems is examined with the help of the Computer Based Assessment Acceptance Model (CBAAM) in the two different cultures of Greece and Mexico. The study was conducted by delivering the same CBA system to students of identical courses in Greece and Mexico. The research data were analyzed using Partial Least Squares (PLS). The results indi...

2007
D. Roland Thomas Marzena Cedzynski

Partial least squares (PLS) is sometimes used as an alternative to covariance-based structural equation modeling (SEM). This paper briefly reviews currently available SEM techniques, and provides a critique of the perceived advantages of PLS over covariance-based SEM as commonly cited by PLS users. Specific attention is drawn to the primary disadvantage of PLS, namely the lack of consistency of...

2011
Wei-Wen Wu Lawrence W. Lan Yu-Ting Lee

The Global Information Technology Report published by World Economic Forum used Networked Readiness Index (NRI) to measure the global competitiveness of a country’s information and communication technologies (ICT). The NRI covers three subindexes with nine pillars, which are treated with equal weights. It does not explore the causal relationships. In order to provide more information to the pol...

2015
Pratyush Nidhi Sharma Marko Sarstedt Galit Shmueli Kevin H. Kim

Predictive model selection metrics are used to select models with the highest out-of-sample predictive power among a set of models. R 2 and related metrics, which are heavily used in partial least squares path modeling, are often mistaken as predictive metrics. We introduce information theoretic model selection criteria that are designed for out-of-sample prediction and which do not require cre...

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