Further reading

• Chapelle O., Schölkopf B., Zien A. (edited by), Semi-Supervised Learning, The MIT Press, 2010
• Peters J., Janzing D., Schölkopf B., Elements of Causal Inference, The MIT Press, 2017
• Howard R. A., Dynamic Programming and Markov Process, The MIT Press, 1960
• Hughes G. F., On the mean accuracy of statistical pattern recognizers, IEEE Transactions on Information Theory, 14/1, 1968
• Belkin M., Niyogi P., Semi-supervised learning on Riemannian manifolds, Machine Learning 56, 2004
• Blum A., Mitchell T., Combining Labeled and Unlabeled Data with Co-Training, 11^th Annual Conference on Computational Learning Theory, 1998
• Loog M., Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification, arXiv:1503.00269, 2015
• Joachims T., Transductive Inference for Text Classification using Support Vector Machines, ICML Vol. 99/1999
• Koller D., Friedman N., Probabilistic Graphical Models, The MIT Press, 2009
• Bonaccorso G.,...