BACKGROUND Partial least square regression (PLSR) was used to analyze the data of the QTLMAS 2010 workshop to identify genomic regions affecting either one of the two traits and to estimate breeding values. PLSR was appropriate for these data because it enabled to simultaneously fit several traits to the markers. RESULTS A preliminary analysis showed phenotypic and genetic correlations betwee...

The aim of this work is to show how partial least squares (PLS) regression when combined with two other techniques Karhunen-Loeve (KL) expansion and Markov chain Monte Carlo (MCMC) can be efficient and effective at addressing parameter uncertainties that affect the predictive ability of a model for critical applications such as monitoring and control. We introduce a combination of PLS regressio...

In a very competitive mobile telecommunication industry business environment, marketing managers need a business intelligence model that allows them to maintain an optimal (at least a near optimal) level of churners very effectively and efficiently while minimizing the costs throughout their marketing programs. As a first step toward optimal churn management program for marketing managers, this...

<p>The electronic government (e-government) worldwide is slowly progressing. The e-government progress in developing countries, such as Iraq, slower compared with those of regional countries. Prior research suggested deploying cloud based E-government (CBEG). However, most studies are either review or conceptual. This study aims to examine the CBEG Iraq and identify criteria that required...