BriefGPT.xyz
Jul, 2013
多标签分类的集成方法
Ensemble Methods for Multi-label Classification
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Lior Rokach, Alon Schclar, Ehud Itach
TL;DR
本文提出了将最小集覆盖问题应用于构建标签集合的通用框架,并提出两个构建约束条件以提高多标签分类的准确率和稳定性。在实验中,这种方法优于RAKEL算法和其它同类算法。
Abstract
ensemble methods
have been shown to be an effective tool for solving
multi-label classification
tasks. In the RAndom k-labELsets (RAKEL) algorithm, each member of the ensemble is associated with a small randomly-
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