Further reading
A solid place to start understanding Semi-supervised learning methods is Xiaojin Zhu's very thorough literature survey, available at http://pages.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf.
I also recommend a tutorial by the same author, available in the slide format at http://pages.cs.wisc.edu/~jerryzhu/pub/sslicml07.pdf.
The key paper on Contastive Pessimistic Likelihood Estimation is Loog's 2015 paper http://arxiv.org/abs/1503.00269.
This chapter made a reference to the distinction between generative and discriminative models. A couple of relatively clear explanations of the distinction between generative and discriminative algorithms are provided by Andrew Ng (http://cs229.stanford.edu/notes/cs229-notes2.pdf) and Michael Jordan ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access