Inspired by the theory of simple random walk, we propose a unified framework for semi-supervised learning, i.e. multilevel random walk ( MRW). MRW can produce numerous multi-class label propagation algorithms by constructing various component random walk models based on prior knowledge.

  • 在简单随机游走理论的启发下,我们提出一个统一的半监督学习框架&多层随机游走,通过构建各种组件级的随机游走模型,可以产生一系列对应的多分类标签传播算法。

  • 互联网摘选 2025-01-20 17:40:51

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