Abstract: In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data for supervised small-baseline and ...
Abstract: Formal concept analysis (FCA) can formally model the correspondence between objects and attributes, which is crucial for single-label classification. The core of single-label classification ...
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