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Regression analysis is perhaps the best known and most widely used method used for the analysis of dependence; that is, for examining the relationship between a set of independent variables (X’s) and a single dependent variable (Y). In general regression, the model is a linear combination of independent variables that corresponds as closely as possible to the dependent variable [Lattin, Carroll, Green...
In real research problems we usually deal with relevant variables and
irrelevant (noisy) variables. Relevant variables sometimes can not be identified, by for
example HINoV method or modified HINoV method. This paper compares effectiveness
detection o f known class structure with application o f symbolic decision trees and
symbolic kernel discriminant analysis in situation where we deal with noisy...
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