文章目录
写在前面
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Introduction
Why semi-supervised learning helps?
Outline
1. Semi-supervised Learning for Generative Model
2. Semi-supervised Learning Low-density Separation(非黑即白)(这个比较常用,上面那个生成模型不通用)
3. Semi-supervised Learning Smoothness Assumption
实践
Graph-based Approach
4. Better Representation