5Semi-supervised multi-task learning based on dynamic fuzzy sets

This chapter is divided into six sections. Section 5.1 gives a brief introduction to this chapter. We present the semi-supervised multi-task learning model in Section 5.2 and the semi-supervised multi-task learning model based on DFS in Section 5.3. In Section 5.4, we introduce algorithm of dynamic fuzzy semi-supervised multi-task matching. The DFSSMTAL algorithm is described in Section 5.5. The last section is the summary of the chapter.

5.1Introduction

5.1.1Review of semi-supervised multi-task learning

It is well known that supervised learning is an effective technique for learning classifiers when there is sufficient mark-up data. However, there is often a high price to obtain ...

Get Dynamic Fuzzy Machine Learning now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.