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C_TraDaBoost
- 迁移学习目前是机器学习的热门领域，基于戴文渊的“Boosting for Transfer Learning”,很有学习价值，这里是TraDaBoost算法的源代码。-For transfer learning packets: 20_newsgroups, facilitate the use of learning
htl4ic
- 使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。-Use the emerging machine learning methods: migration study carried pictures segments, segment results improved significantly.
sick
- 迁移学习 领域适应性 机器学习 学习代码(Transfer learning Domain Adaptation Machine Learning Coding study Inductive Learning Transductive Learning)
DGA-DA
- DGA_DA算法实现，几个方法都实现了，。。。。(DGA_DA,it's all achieved by myself, please,let it go)