Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and bagging approaches. In this paper the random forests approach is extended for variable selection with other learning models, in this case Partial Least Squares (PLS) and Kernel Partial Least Squares (K-PLS) to estimat...

The utilisation of social media in the workplace has attracted much speculation in the business community in relation to its risks and benefits. However, intra-organisational dimensions affecting such ustilisation are yet to be holistically considered. Grounded in the scholarly literature, a survey questionnaire was operationalized and empirical data collected and analysed using PLS. The result...

The PLS B algorithm is used as a tool to investigate the relationships among several data sets. The ,rst step of this algorithm entails an iterative procedure the convergence of which is not proved. In this paper, an alternative procedure is discussed. It achieves the same purpose and its convergence is proven. c © 2003 Elsevier B.V. All rights reserved.

Computer task performance is an essential driver of end user productivity. Recent research indicates that computer self-efficacy (CSE) is an important determinant of computer task performance. Contrary to the significant interest in understanding the role of CSE in predicting computer task performance, little attention has been given to understanding the role of personal goal (PG), which can be...

Ten years ago, Bhattacherjee proposed the information system continuance model, which received considerable attention in the literature. This study proposes an extended information system continuance model by incorporating system quality to the original model in the context of educators’ utilization of e-learning technology for conducting courses. Our proposed model is tested using a sample of ...

Although interorganizational information system can facilitate supply chain integration and supply chain agility, unintended outcomes may occur if partners possess distinct knowledge about the use of IOS. Based on Foucault’s theory of power/knowledge, institutional theory and resource dependence theory, we analyze how various power relations work together to facilitate the institutionalization ...

Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applications. Herein we combine the Partial Least Squares (PLS) method with LDA algorithm, and then propose two improved methods, named LDA-PLS and ex-LDA-PL...

PLS univariate regression is a model linking a dependent variable y to a set X= {x1; : : : ; xp} of (numerical or categorical) explanatory variables. It can be obtained as a series of simple and multiple regressions. By taking advantage from the statistical tests associated with linear regression, it is feasible to select the signi6cant explanatory variables to include in PLS regression and to ...

A number of central auditory neurons exhibit paradoxical latency shift (PLS), a response characterized by longer response latencies at higher sound levels. PLS neurons are known to play a role in target ranging for echolocating bats that emit frequency-modulated sounds. We recently reported that early inhibition of unit's oscillatory discharges is critical for PLS in the inferior colliculus (IC...