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A category is a set of entities associated by specific characteristics (features). These features can have different relations between one another, including correlations and causal connections. The purpose of this

A category is a set of entities associated by specific characteristics (features). These features can have different relations between one another, including correlations and causal connections. The purpose of this study was to examine how the relations between features would affect the inference of unknown features of new entities from a given set of features. Categories and their relations were learned in a Learning Phase, whereas features were inferred in Transfer and Selection Phases.

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