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.


5.1.1Review 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 ...

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