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considered as learning mechanisms used by voters to perform a classification of the incumbent in order to distinguish … a neural network, namely a perceptron, can resolve that problem of classification. This is done by considering a model …
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lemma is outlined and an application of such a projection on latent factors in a classification example is given. …
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Despite its age, the Linear Discriminant Analysis performs well even in situations where the underlying premises like normally distributed data with constant covariance matrices over all classes are not met. It is, however, a global technique that does not regard the nature of an individual...
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strategies are characterized and a classification of European social transfer systems is introduced. Subsequently, the …
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This paper analyses the distributive impacts of various regulatory and institutional settings of European schemes of social assistance. For this purpose, two sets of classifications of European schemes of social assistance are introduced that classify the systems according to regulatory...
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