Description: This is a comprehensive reference of semi-surpervised learning, including the algrithms, application, and the proof in theory.
- [ssl_survey] - A review of semi-supervised learning, in
- [SDA] - Semi-supervised classification analysis.
- [semi01] - Over the past three years semi-supervise
- [semiconductlearn] - Semi-Supervised Learning Literature Surv
- [SDA] - Semi-Supervised Discriminant Analysis (G
- [GA1E1] - Using K-means and genetic algorithm to a
- [Fussy] - This is the clustering of books, this bo
- [semi-ga] - Semi-supervised genetic algorithm, based
- [harmonic_function] - Daniel, the use of semi-supervised learn
- [Semi-Supervised_Learning_With_SVMs] - Using support vector machine semi-superv
File list (Check if you may need any files):
Semi-Supervised+Learning 参考书.pdf