An Approach to Supervised Learning: Dynamic Multi-Hyperplane Partitioning
Supervised learning has tremendous applications in cancer prediction, patient treatment, business, and engineering. Datasets for supervised learning are often corrupted by noise and non-biological effects, leading to model-overfitting and performance degradation in current methods of binary classifi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8963690/ |