Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Feature selection and classification are widely utilized for data analysis. Recently, considerable advancement has been achieved in semi-supervised multi-task feature selection algorithms, where they have exploited the shared information from multiple related tasks. However, these semi-supervised...
| Auteur principal: | |
|---|---|
| Format: | Thèse |
| Publié: |
2019
|
| Sujets: |