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On the use of support mechanisms to perform experimental variables selection
(2020-01-01)
The selection of variables in a given experiment is crucial, since it is the theoretical foundation that guides how data should be collected and analyzed. However, selecting variables is an intricate activity, especially ...
Using an Experimental Framework to Support Variables Selection: An Exploratory Study
(2021-05-01)
The selection of variables in a given experiment is crucial, since it is the theoretical foundation that guides how data should be collected and analyzed. However, selecting variables is an intricate activity, especially ...
Endogamy and genetic variability in selective mating using distribution of extremes
(Revista Brasileira de Zootecnia, 2017)
An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration
(Elsevier Science, 2013-07)
A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection ...
PLS pruning: a new approach to variable selection for multivariate calibration based on Hessian matrix of errors
(Elsevier Science BvAmsterdamHolanda, 2005)
Methodology for calculating critical values of relevance measures in variable selection methods in data envelopment analysis
(Elsevier, 2021)
The selection of input and output variables is a key step in evaluating the relative efficiency of decision- making units (DMUs) in data envelopment analysis (DEA). In this paper, we present a methodology based on Monte ...
A strategy for selecting calibration samples for multivariate modelling
(Elsevier Science BvAmsterdamHolanda, 2004)
Solving Constraint Satisfaction Puzzles with Constraint Programming
(2009-09-17)
Constraint Programming (CP) is a powerful paradigm for solving
Combinatorial Problems (generally issued from Decision Making). In CP,
Enumeration Strategies are crucial for resolution performances. In this work,
we model ...
Variable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars
(Universidade Federal de Minas GeraisBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAUFMG, 2018)