Sách tham khảo Học nửa giám sát

  1. Abney, S., Semisupervised Learning for Computational Linguistics. Chapman & Hall/CRC, 2008.
  2. Blum, A., Mitchell, T. Combining labeled and unlabeled data with co-training Lưu trữ 2011-09-04 tại Wayback Machine. COLT: Proceedings of the Workshop on Computational Learning Theory, Morgan Kaufmann, 1998, p. 92-100.
  3. Chapelle, O., B. Schölkopf and A. Zien: Semi-Supervised Learning. MIT Press, Cambridge, MA (2006). Further information Lưu trữ 2010-01-12 tại Wayback Machine.
  4. Huang T-M., Kecman V., Kopriva I. , Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semisupervised and Unsupervised Learning, Springer-Verlag, Berlin, Heidelberg, 260 pp. 96 illus., Hardcover, ISBN 3-540-31681-7, 2006.
  5. O'Neill, T. J. (1978) "Normal discrimination with unclassified observations". Journal of the American Statistical Association, 73, 821–826.
  6. Theodoridis S., Koutroumbas K. (2009) Pattern Recognition, 4th Edition, Academic Press, ISBN 978-1-59749-272-0.
  7. Zhu, X. Semi-supervised learning literature survey.
  8. Zhu, X., Goldberg, A. (2009) Introduction to Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, 3, 1-130. Morgan & Claypool Publishers, 2009.
  9. Song, E. et al. , Semi-supervised multi-class Adaboost by exploiting unlabeled data, Expert Systems with Applications, Vol. 38, Issue 6, p. 6720-6726, June 2011.