Mastering Machine Learning Algorithms - Second Edition

4

Advanced Semi-Supervised Classification

In this chapter, we're going to introduce more advanced semi-supervised classification algorithms that are able to solve complex problems where simpler algorithms fail. In particular, we will discuss:

• Contrastive Pessimistic Likelihood Estimation (CPLE)
• Semi-Supervised Support Vector Machines (S3VM)
• Transductive Support Vector Machines (TSVM)

For each of these algorithms, we'll explain the theory behind them and then show a Python-coded example of them in practice. We'll start with the CPLE Algorithm.

Contrastive Pessimistic Likelihood Estimation

As we discussed in the previous chapter, in many real-life problems, it's cheaper to retrieve unlabeled samples, rather than correctly labeled ones. For this ...