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Large-scale classification of structured data where classes are organized in a hierarchical structure is an important area of research. Top-down approaches that leverage the hierarchy during the learning and prediction phase are efficient for solving large-scale hierarchical classification. However, accuracy of top-down approaches is poor due to error propagation, i.e., prediction errors made at higher...
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