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Sep, 2016
DiSMEC - 极端多标签分类的分布式稀疏模型
DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification
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Rohit Babbar, Bernhard Shoelkopf
TL;DR
DiSMEC 是一种大规模分布式框架,用于学习与显式容量控制相结合的一对多线性分类器,可控制模型大小,而无需在标签矩阵上做出低秩假设。
Abstract
extreme multi-label classification
refers to supervised multi-label learning involving hundreds of thousands or even millions of labels. Datasets in extreme classification exhibit fit to
power-law distribution
, i
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