Semi-Supervised Hybrid Windowing Ensembles for Learning from Evolving Streams
In this thesis, learning refers to the intelligent computational extraction of knowledge from data. Supervised learning tasks require data to be annotated with labels, whereas for unsupervised learning, data is not labelled. Semi-supervised learning deals with data sets that are partially labelled....
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en |
| Published: |
Université d'Ottawa / University of Ottawa
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10393/39273 http://dx.doi.org/10.20381/ruor-23520 |