The paper describes a generalization of derivation to categorical domains. We defined probabilistic qualitative partial derivatives that describe how the change of the variable affects the probability of categorical dependent variable. We propose a local naive bayesian method for computation of such derivatives.
COBISS.SI-ID: 7881812
In the paper, we use one of the methods developed within the project, for construction of preference models. Using the data in which the preferences are given only implicitly, the method can construct a model that can predict the preferences for a concrete example (e.g., a person choosing between a set of alternatives).
COBISS.SI-ID: 7926100