This paper presented a novel method named wavelet packet transform-based partial least squares method (WPTPLS) for simultaneous spectrophotometric determination of alpha-naphthylamine, p-nitroaniline, and benzidine. Wavelet packet representations of signals provided a local time-frequency description and separation ability between information and noise. The quality of the noise removal can be i...

Speaker recognition systems have been shown to work well when recordings are collected in conditions with relatively limited mismatch. Thus, a significant focus of the current research is techniques for robust system performance when greater variability is present. This study considers a diverse data set with recordings collected in multiple different rooms with different types of microphones. ...

Genomic selection involves computing a prediction equation from the estimated effects of a large number of DNA markers based on a limited number of genotyped animals with phenotypes. The number of observations is much smaller than the number of independent variables, and the challenge is to find methods that perform well in this context. Partial least squares regression (PLS) and sparse PLS wer...

0019-1035/$ see front matter Published by Elsevier http://dx.doi.org/10.1016/j.icarus.2012.07.023 ⇑ Corresponding author at: Department of Earth S Purdue University Indianapolis, IN 46202, United Stat E-mail addresses: [email protected], njushuaili@ The goal of this study is to develop an efficient and accurate model for using visible–near infrared reflectance spectra to estimate the abundance...

This work provides a novel derivation based on optimization for the partial least squares (PLS) algorithm for linear regression and the kernel partial least squares (K-PLS) algorithm for nonlinear regression. This derivation makes the PLS algorithm, popularly and successfully used for chemometrics applications, more accessible to machine learning researchers. The work introduces Direct K-PLS, a...

Empirical studies that use structural equation modeling (SEM) are widespread in information systems research. During the last few years, the component-based approach partial least squares (PLS) for testing structural models has become increasingly popular. At the same time, this approach’s limitations have become a greater concern. Some researchers even suggest using alternative approaches that...

Methods: Here, we introduce an enhancement concept that joins two dimension reduction methods of Partial Least Squares (PLS) and Minimum Average Variance Estimation (MAVE), which is called as an enhanced dimension reduction method. The PLS method generates the new transformed genes that include compressed information. Then, the MAVE method clusters samples in the same class and separate samples...