Outlier detection toward high-dimensional industrial data using extreme tensor-train learning machine with compression
Outlier detection in a high-dimensional dataset is a significant but challenging task in a number of applications. Extreme learning machine (ELM) is a powerful modeling tool for identifying outlier in an underlying dataset. However, when dealing with outliers in high-dimensional industry data, ELM b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823001301 |