Randomized neural networks for preference learning with physiological data
The paper discusses the use of randomized neural networks to learn a complete ordering between samples of heart-rate variability data by relying solely on partial and subject-dependent information concerning pairwise relations between samples. We confront two approaches, i.e. Extreme Learning Machin...
| Main Authors: | , , , |
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| 格式: | Journal article |
| 出版: |
Elsevier
2018
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